Migrasi otomatis
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +148 -0
- README.md +63 -0
- head_detect_v0.1_s/F1_curve.png +0 -0
- head_detect_v0.1_s/PR_curve.png +0 -0
- head_detect_v0.1_s/P_curve.png +0 -0
- head_detect_v0.1_s/R_curve.png +0 -0
- head_detect_v0.1_s/confusion_matrix.png +0 -0
- head_detect_v0.1_s/confusion_matrix_normalized.png +0 -0
- head_detect_v0.1_s/events.out.tfevents.1726426694.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1810919.0 +3 -0
- head_detect_v0.1_s/labels.jpg +3 -0
- head_detect_v0.1_s/labels.json +3 -0
- head_detect_v0.1_s/labels_correlogram.jpg +3 -0
- head_detect_v0.1_s/model.onnx +3 -0
- head_detect_v0.1_s/model.pt +3 -0
- head_detect_v0.1_s/model_artifacts.json +1 -0
- head_detect_v0.1_s/model_type.json +3 -0
- head_detect_v0.1_s/results.csv +201 -0
- head_detect_v0.1_s/results.png +3 -0
- head_detect_v0.1_s/threshold.json +4 -0
- head_detect_v0.2_s/F1_curve.png +0 -0
- head_detect_v0.2_s/PR_curve.png +0 -0
- head_detect_v0.2_s/P_curve.png +0 -0
- head_detect_v0.2_s/R_curve.png +0 -0
- head_detect_v0.2_s/confusion_matrix.png +0 -0
- head_detect_v0.2_s/confusion_matrix_normalized.png +0 -0
- head_detect_v0.2_s/events.out.tfevents.1726472700.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1892989.0 +3 -0
- head_detect_v0.2_s/labels.jpg +3 -0
- head_detect_v0.2_s/labels.json +3 -0
- head_detect_v0.2_s/labels_correlogram.jpg +3 -0
- head_detect_v0.2_s/model.onnx +3 -0
- head_detect_v0.2_s/model.pt +3 -0
- head_detect_v0.2_s/model_artifacts.json +1 -0
- head_detect_v0.2_s/model_type.json +3 -0
- head_detect_v0.2_s/results.csv +101 -0
- head_detect_v0.2_s/results.png +3 -0
- head_detect_v0.2_s/threshold.json +4 -0
- head_detect_v0.2_s_plus/F1_curve.png +0 -0
- head_detect_v0.2_s_plus/PR_curve.png +0 -0
- head_detect_v0.2_s_plus/P_curve.png +0 -0
- head_detect_v0.2_s_plus/R_curve.png +0 -0
- head_detect_v0.2_s_plus/confusion_matrix.png +0 -0
- head_detect_v0.2_s_plus/confusion_matrix_normalized.png +0 -0
- head_detect_v0.2_s_plus/events.out.tfevents.1726491150.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1904023.0 +3 -0
- head_detect_v0.2_s_plus/labels.jpg +3 -0
- head_detect_v0.2_s_plus/labels.json +3 -0
- head_detect_v0.2_s_plus/labels_correlogram.jpg +3 -0
- head_detect_v0.2_s_plus/model.onnx +3 -0
- head_detect_v0.2_s_plus/model.pt +3 -0
- head_detect_v0.2_s_plus/model_type.json +3 -0
- head_detect_v0.2_s_plus/results.csv +101 -0
.gitattributes
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head_detect_v2.0_l_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_l_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_m_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_n_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_s_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_x/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_x/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_x_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_x_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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head_detect_v2.0_x_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
datasets:
|
| 4 |
+
- deepghs/anime_head_detection
|
| 5 |
+
metrics:
|
| 6 |
+
- f1
|
| 7 |
+
pipeline_tag: object-detection
|
| 8 |
+
tags:
|
| 9 |
+
- art
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
| Model | Type | FLOPS | Params | F1 Score | Threshold | precision(B) | recall(B) | mAP50(B) | mAP50-95(B) | F1 Plot | Confusion | Labels |
|
| 13 |
+
|:-------------------------:|:------:|:-------:|:--------:|:----------:|:-----------:|:--------------:|:-----------:|:----------:|:-------------:|:------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------:|:--------:|
|
| 14 |
+
| head_detect_v2.0_x_yv11 | yolo | 195G | 56.9M | 0.93 | 0.458 | 0.95942 | 0.90938 | 0.96853 | 0.78938 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_x_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_x_yv11/confusion_matrix_normalized.png) | `head` |
|
| 15 |
+
| head_detect_v2.0_l_yv11 | yolo | 87.3G | 25.3M | 0.93 | 0.432 | 0.95557 | 0.90905 | 0.9661 | 0.78709 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_l_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_l_yv11/confusion_matrix_normalized.png) | `head` |
|
| 16 |
+
| head_detect_v2.0_m_yv11 | yolo | 68.2G | 20.1M | 0.93 | 0.42 | 0.95383 | 0.90658 | 0.96485 | 0.78511 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_m_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_m_yv11/confusion_matrix_normalized.png) | `head` |
|
| 17 |
+
| head_detect_v2.0_s_yv11 | yolo | 21.5G | 9.43M | 0.92 | 0.383 | 0.954 | 0.89512 | 0.95789 | 0.77753 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_s_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_s_yv11/confusion_matrix_normalized.png) | `head` |
|
| 18 |
+
| head_detect_v2.0_n_yv11 | yolo | 6.44G | 2.59M | 0.91 | 0.365 | 0.94815 | 0.87169 | 0.9452 | 0.75835 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_n_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_n_yv11/confusion_matrix_normalized.png) | `head` |
|
| 19 |
+
| head_detect_v2.0_x | yolo | 227G | 61.6M | 0.93 | 0.459 | 0.95378 | 0.91123 | 0.96593 | 0.78767 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_x/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_x/confusion_matrix_normalized.png) | `head` |
|
| 20 |
+
| head_detect_v2.0_l | yolo | 146G | 39.5M | 0.93 | 0.379 | 0.95124 | 0.91264 | 0.96458 | 0.78627 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_l/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_l/confusion_matrix_normalized.png) | `head` |
|
| 21 |
+
| head_detect_v2.0_m | yolo | 79.1G | 25.9M | 0.93 | 0.397 | 0.95123 | 0.90701 | 0.96403 | 0.78342 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_m/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_m/confusion_matrix_normalized.png) | `head` |
|
| 22 |
+
| head_detect_v2.0_s | yolo | 28.6G | 11.1M | 0.92 | 0.413 | 0.95556 | 0.89197 | 0.95799 | 0.77833 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_s/confusion_matrix_normalized.png) | `head` |
|
| 23 |
+
| head_detect_v2.0_n | yolo | 8.19G | 3.01M | 0.91 | 0.368 | 0.94633 | 0.87046 | 0.94361 | 0.75764 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v2.0_n/confusion_matrix_normalized.png) | `head` |
|
| 24 |
+
| head_detect_v1.6_x_rtdetr | rtdetr | 232G | 67.3M | 0.93 | 0.559 | 0.95316 | 0.91697 | 0.96556 | 0.76682 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_x_rtdetr/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_x_rtdetr/confusion_matrix_normalized.png) | `head` |
|
| 25 |
+
| head_detect_v1.6_l_rtdetr | rtdetr | 108G | 32.8M | 0.93 | 0.53 | 0.95113 | 0.90956 | 0.96218 | 0.76201 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_l_rtdetr/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_l_rtdetr/confusion_matrix_normalized.png) | `head` |
|
| 26 |
+
| head_detect_v1.6_s_yv11 | yolo | 21.5G | 9.43M | 0.93 | 0.42 | 0.95273 | 0.90558 | 0.96327 | 0.78566 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv11/confusion_matrix_normalized.png) | `head` |
|
| 27 |
+
| head_detect_v1.6_n_yv11 | yolo | 6.44G | 2.59M | 0.92 | 0.385 | 0.95561 | 0.87798 | 0.95086 | 0.76765 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n_yv11/confusion_matrix_normalized.png) | `head` |
|
| 28 |
+
| head_detect_v1.6_s_yv9 | yolo | 22.7G | 6.32M | 0.93 | 0.419 | 0.95464 | 0.90425 | 0.9627 | 0.78663 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv9/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv9/confusion_matrix_normalized.png) | `head` |
|
| 29 |
+
| head_detect_v1.6_t_yv9 | yolo | 6.7G | 1.77M | 0.91 | 0.332 | 0.94968 | 0.8792 | 0.95069 | 0.76789 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_t_yv9/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_t_yv9/confusion_matrix_normalized.png) | `head` |
|
| 30 |
+
| head_detect_v1.6_x | yolo | 258G | 68.2M | 0.94 | 0.448 | 0.9546 | 0.91873 | 0.96878 | 0.79502 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_x/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_x/confusion_matrix_normalized.png) | `head` |
|
| 31 |
+
| head_detect_v1.6_l | yolo | 165G | 43.6M | 0.94 | 0.458 | 0.95733 | 0.92018 | 0.96868 | 0.79428 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_l/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_l/confusion_matrix_normalized.png) | `head` |
|
| 32 |
+
| head_detect_v1.6_s_yv10 | yolo | 24.8G | 8.07M | 0.93 | 0.406 | 0.95424 | 0.90074 | 0.96201 | 0.78713 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv10/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s_yv10/confusion_matrix_normalized.png) | `head` |
|
| 33 |
+
| head_detect_v1.6_n_yv10 | yolo | 8.39G | 2.71M | 0.91 | 0.374 | 0.94845 | 0.87492 | 0.9503 | 0.77059 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n_yv10/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n_yv10/confusion_matrix_normalized.png) | `head` |
|
| 34 |
+
| head_detect_v1.6_s | yolo | 28.6G | 11.1M | 0.93 | 0.381 | 0.95333 | 0.90587 | 0.96241 | 0.78688 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_s/confusion_matrix_normalized.png) | `head` |
|
| 35 |
+
| head_detect_v1.6_n | yolo | 8.19G | 3.01M | 0.92 | 0.38 | 0.94835 | 0.88436 | 0.95051 | 0.76766 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.6_n/confusion_matrix_normalized.png) | `head` |
|
| 36 |
+
| head_detect_v1.5_s | yolo | 28.6G | 11.1M | 0.94 | 0.453 | 0.96014 | 0.92275 | 0.96829 | 0.80674 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.5_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.5_s/confusion_matrix_normalized.png) | `head` |
|
| 37 |
+
| head_detect_v1.5_n | yolo | 8.19G | 3.01M | 0.93 | 0.396 | 0.95719 | 0.90511 | 0.9612 | 0.78841 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.5_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.5_n/confusion_matrix_normalized.png) | `head` |
|
| 38 |
+
| head_detect_v1.4_s | yolo | 28.6G | 11.1M | 0.94 | 0.472 | 0.96275 | 0.91875 | 0.96812 | 0.80417 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.4_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.4_s/confusion_matrix_normalized.png) | `head` |
|
| 39 |
+
| head_detect_v1.4_n | yolo | 8.19G | 3.01M | 0.93 | 0.396 | 0.9557 | 0.90559 | 0.96075 | 0.78689 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.4_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.4_n/confusion_matrix_normalized.png) | `head` |
|
| 40 |
+
| head_detect_v1.3_s | yolo | 28.6G | 11.1M | 0.94 | 0.423 | 0.95734 | 0.9257 | 0.97037 | 0.80391 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.3_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.3_s/confusion_matrix_normalized.png) | `head` |
|
| 41 |
+
| head_detect_v1.3_n | yolo | 8.19G | 3.01M | 0.93 | 0.409 | 0.95254 | 0.90674 | 0.96258 | 0.7844 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.3_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.3_n/confusion_matrix_normalized.png) | `head` |
|
| 42 |
+
| head_detect_v1.2_s | yolo | 28.6G | 11.1M | 0.94 | 0.415 | 0.95756 | 0.9271 | 0.97097 | 0.80514 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.2_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.2_s/confusion_matrix_normalized.png) | `head` |
|
| 43 |
+
| head_detect_v1.2_n | yolo | 8.19G | 3.01M | 0.93 | 0.471 | 0.96309 | 0.89766 | 0.9647 | 0.78928 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.2_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.2_n/confusion_matrix_normalized.png) | `head` |
|
| 44 |
+
| head_detect_v1.1_s | yolo | 28.6G | 11.1M | 0.94 | 0.485 | 0.96191 | 0.91892 | 0.97069 | 0.80182 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.1_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.1_s/confusion_matrix_normalized.png) | `head` |
|
| 45 |
+
| head_detect_v1.0_l | yolo | 165G | 43.6M | 0.94 | 0.579 | 0.95881 | 0.91532 | 0.96561 | 0.81417 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_l/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_l/confusion_matrix_normalized.png) | `head` |
|
| 46 |
+
| head_detect_v1.0_x | yolo | 258G | 68.2M | 0.94 | 0.567 | 0.9597 | 0.91947 | 0.96682 | 0.8154 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_x/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_x/confusion_matrix_normalized.png) | `head` |
|
| 47 |
+
| head_detect_v1.0_m | yolo | 79.1G | 25.9M | 0.94 | 0.489 | 0.95805 | 0.9196 | 0.96632 | 0.81383 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_m/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_m/confusion_matrix_normalized.png) | `head` |
|
| 48 |
+
| head_detect_v1.0_s | yolo | 28.6G | 11.1M | 0.93 | 0.492 | 0.95267 | 0.91355 | 0.96245 | 0.80371 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_s/confusion_matrix_normalized.png) | `head` |
|
| 49 |
+
| head_detect_v1.0_n | yolo | 8.19G | 3.01M | 0.92 | 0.375 | 0.93999 | 0.9002 | 0.95509 | 0.7849 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v1.0_n/confusion_matrix_normalized.png) | `head` |
|
| 50 |
+
| head_detect_v0.5_s | yolo | 28.6G | 11.1M | 0.92 | 0.415 | 0.93908 | 0.9034 | 0.95697 | 0.77514 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_s/confusion_matrix_normalized.png) | `head` |
|
| 51 |
+
| head_detect_v0.5_n | yolo | 8.19G | 3.01M | 0.91 | 0.446 | 0.93834 | 0.88034 | 0.94784 | 0.75251 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_n/confusion_matrix_normalized.png) | `head` |
|
| 52 |
+
| head_detect_v0.5_s_pruned | yolo | 28.6G | 11.1M | 0.93 | 0.472 | 0.95455 | 0.89865 | 0.9584 | 0.79968 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_s_pruned/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_s_pruned/confusion_matrix_normalized.png) | `head` |
|
| 53 |
+
| head_detect_v0.5_n_pruned | yolo | 8.19G | 3.01M | 0.91 | 0.523 | 0.95254 | 0.8743 | 0.95049 | 0.7807 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_n_pruned/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_n_pruned/confusion_matrix_normalized.png) | `head` |
|
| 54 |
+
| head_detect_v0.5_m_pruned | yolo | 79.1G | 25.9M | 0.94 | 0.52 | 0.9609 | 0.91365 | 0.96501 | 0.81322 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_m_pruned/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.5_m_pruned/confusion_matrix_normalized.png) | `head` |
|
| 55 |
+
| head_detect_v0.4_s | yolo | 28.6G | 11.1M | 0.92 | 0.405 | 0.93314 | 0.90274 | 0.95727 | 0.77193 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.4_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.4_s/confusion_matrix_normalized.png) | `head` |
|
| 56 |
+
| head_detect_v0.4_s_fp | yolo | 28.6G | 11.1M | 0.91 | 0.445 | 0.93181 | 0.89113 | 0.95002 | 0.76302 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.4_s_fp/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.4_s_fp/confusion_matrix_normalized.png) | `head` |
|
| 57 |
+
| head_detect_v0.3_s | yolo | 28.6G | 11.1M | 0.91 | 0.406 | 0.92457 | 0.90351 | 0.95785 | 0.78912 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.3_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.3_s/confusion_matrix_normalized.png) | `head` |
|
| 58 |
+
| head_detect_v0.2_s_plus | yolo | 28.6G | 11.1M | 0.91 | 0.594 | 0.94239 | 0.8774 | 0.94909 | 0.77986 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.2_s_plus/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.2_s_plus/confusion_matrix_normalized.png) | `head` |
|
| 59 |
+
| head_detect_v0.2_s | yolo | 28.6G | 11.1M | 0.9 | 0.461 | 0.91861 | 0.8898 | 0.94765 | 0.77541 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.2_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.2_s/confusion_matrix_normalized.png) | `head` |
|
| 60 |
+
| head_detect_v0.1_s | yolo | 28.6G | 11.1M | 0.9 | 0.504 | 0.91576 | 0.88662 | 0.94213 | 0.7713 | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.1_s/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0.1_s/confusion_matrix_normalized.png) | `head` |
|
| 61 |
+
| head_detect_v0_n | yolo | 8.19G | 3.01M | 0.9 | 0.316 | N/A | N/A | N/A | N/A | [plot](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0_n/F1_curve.png) | [confusion](https://huggingface.co/deepghs/anime_head_detection/blob/main/head_detect_v0_n/confusion_matrix.png) | `head` |
|
| 62 |
+
| head_detect_v0_s | yolo | 28.6G | 11.1M | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | `head` |
|
| 63 |
+
|
head_detect_v0.1_s/F1_curve.png
ADDED
|
head_detect_v0.1_s/PR_curve.png
ADDED
|
head_detect_v0.1_s/P_curve.png
ADDED
|
head_detect_v0.1_s/R_curve.png
ADDED
|
head_detect_v0.1_s/confusion_matrix.png
ADDED
|
head_detect_v0.1_s/confusion_matrix_normalized.png
ADDED
|
head_detect_v0.1_s/events.out.tfevents.1726426694.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1810919.0
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head_detect_v0.1_s/labels.jpg
ADDED
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|
head_detect_v0.1_s/labels.json
ADDED
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[
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"head"
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|
head_detect_v0.1_s/labels_correlogram.jpg
ADDED
|
Git LFS Details
|
head_detect_v0.1_s/model.onnx
ADDED
|
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head_detect_v0.1_s/model.pt
ADDED
|
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+
version https://git-lfs.github.com/spec/v1
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head_detect_v0.1_s/model_artifacts.json
ADDED
|
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|
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| 1 |
+
{"names": ["head"], "yaml": {"nc": 1, "depth_multiple": 0.33, "width_multiple": 0.5, "backbone": [[-1, 1, "Conv", [64, 3, 2]], [-1, 1, "Conv", [128, 3, 2]], [-1, 3, "C2f", [128, true]], [-1, 1, "Conv", [256, 3, 2]], [-1, 6, "C2f", [256, true]], [-1, 1, "Conv", [512, 3, 2]], [-1, 6, "C2f", [512, true]], [-1, 1, "Conv", [1024, 3, 2]], [-1, 3, "C2f", [1024, true]], [-1, 1, "SPPF", [1024, 5]]], "head": [[-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 6], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 4], 1, "Concat", [1]], [-1, 3, "C2f", [256]], [-1, 1, "Conv", [256, 3, 2]], [[-1, 12], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "Conv", [512, 3, 2]], [[-1, 9], 1, "Concat", [1]], [-1, 3, "C2f", [1024]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 1, "args": {"model": "yolov8s.pt", "batch": 16, "imgsz": 640}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
|
head_detect_v0.1_s/model_type.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_type": "yolo"
|
| 3 |
+
}
|
head_detect_v0.1_s/results.csv
ADDED
|
@@ -0,0 +1,201 @@
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
|
| 2 |
+
1, 1.3544, 1.308, 1.457, 0.85303, 0.81413, 0.89137, 0.61233, 1.035, 0.72563, 1.226, 0.0033318, 0.0033318, 0.0033318
|
| 3 |
+
2, 1.2125, 0.97316, 1.3291, 0.88222, 0.79972, 0.8927, 0.61583, 1.0392, 0.74289, 1.2124, 0.0066322, 0.0066322, 0.0066322
|
| 4 |
+
3, 1.2658, 1.0491, 1.3673, 0.8545, 0.79143, 0.87169, 0.60179, 1.0566, 0.83021, 1.2805, 0.0098995, 0.0098995, 0.0098995
|
| 5 |
+
4, 1.2752, 1.0725, 1.3835, 0.86032, 0.81134, 0.89093, 0.61759, 1.0069, 0.73935, 1.2231, 0.0098515, 0.0098515, 0.0098515
|
| 6 |
+
5, 1.2199, 0.98266, 1.3412, 0.88121, 0.82807, 0.9049, 0.66503, 0.91859, 0.70066, 1.1627, 0.0098515, 0.0098515, 0.0098515
|
| 7 |
+
6, 1.1843, 0.93021, 1.3183, 0.88512, 0.83775, 0.91368, 0.67645, 0.8984, 0.63578, 1.1505, 0.009802, 0.009802, 0.009802
|
| 8 |
+
7, 1.1523, 0.89068, 1.2995, 0.90009, 0.8373, 0.92454, 0.68864, 0.88614, 0.61078, 1.149, 0.0097525, 0.0097525, 0.0097525
|
| 9 |
+
8, 1.1288, 0.85519, 1.2851, 0.90619, 0.84619, 0.92897, 0.70328, 0.82999, 0.56661, 1.1209, 0.009703, 0.009703, 0.009703
|
| 10 |
+
9, 1.1142, 0.83004, 1.2717, 0.88544, 0.85842, 0.92806, 0.7076, 0.81934, 0.58063, 1.095, 0.0096535, 0.0096535, 0.0096535
|
| 11 |
+
10, 1.0965, 0.81168, 1.2598, 0.89848, 0.84294, 0.93085, 0.71245, 0.80422, 0.57234, 1.0918, 0.009604, 0.009604, 0.009604
|
| 12 |
+
11, 1.0816, 0.79257, 1.2495, 0.89594, 0.86017, 0.93577, 0.72128, 0.80033, 0.55657, 1.0856, 0.0095545, 0.0095545, 0.0095545
|
| 13 |
+
12, 1.071, 0.77449, 1.2406, 0.91731, 0.85058, 0.93653, 0.72617, 0.78535, 0.53702, 1.0802, 0.009505, 0.009505, 0.009505
|
| 14 |
+
13, 1.0603, 0.76679, 1.2317, 0.90455, 0.86757, 0.93802, 0.72974, 0.78287, 0.51899, 1.079, 0.0094555, 0.0094555, 0.0094555
|
| 15 |
+
14, 1.0524, 0.74962, 1.2211, 0.90277, 0.86294, 0.93706, 0.73801, 0.76017, 0.51816, 1.0669, 0.009406, 0.009406, 0.009406
|
| 16 |
+
15, 1.0441, 0.74018, 1.2166, 0.89924, 0.87508, 0.93903, 0.73902, 0.75682, 0.51007, 1.0616, 0.0093565, 0.0093565, 0.0093565
|
| 17 |
+
16, 1.0361, 0.73306, 1.2133, 0.90128, 0.87732, 0.94377, 0.74488, 0.74326, 0.49709, 1.051, 0.009307, 0.009307, 0.009307
|
| 18 |
+
17, 1.0281, 0.7242, 1.2119, 0.89988, 0.87732, 0.9439, 0.74432, 0.74617, 0.49961, 1.0609, 0.0092575, 0.0092575, 0.0092575
|
| 19 |
+
18, 1.022, 0.71953, 1.2064, 0.9051, 0.88522, 0.94373, 0.74729, 0.74113, 0.488, 1.0549, 0.009208, 0.009208, 0.009208
|
| 20 |
+
19, 1.0133, 0.70709, 1.1971, 0.90546, 0.87639, 0.94526, 0.74893, 0.7372, 0.4843, 1.051, 0.0091585, 0.0091585, 0.0091585
|
| 21 |
+
20, 1.0111, 0.70492, 1.197, 0.90485, 0.87937, 0.94635, 0.75232, 0.73641, 0.48027, 1.0531, 0.009109, 0.009109, 0.009109
|
| 22 |
+
21, 1.0031, 0.69637, 1.1892, 0.90032, 0.88558, 0.94619, 0.75345, 0.73503, 0.47691, 1.051, 0.0090595, 0.0090595, 0.0090595
|
| 23 |
+
22, 0.99907, 0.6902, 1.1858, 0.90174, 0.88522, 0.94649, 0.7539, 0.7309, 0.47516, 1.0477, 0.00901, 0.00901, 0.00901
|
| 24 |
+
23, 0.99161, 0.68645, 1.1839, 0.92604, 0.86245, 0.94789, 0.75354, 0.72988, 0.47563, 1.0441, 0.0089605, 0.0089605, 0.0089605
|
| 25 |
+
24, 0.98622, 0.68038, 1.1822, 0.92128, 0.87018, 0.94737, 0.75408, 0.72893, 0.47647, 1.0436, 0.008911, 0.008911, 0.008911
|
| 26 |
+
25, 0.98219, 0.66561, 1.177, 0.89346, 0.89545, 0.94725, 0.75466, 0.72685, 0.47308, 1.0431, 0.0088615, 0.0088615, 0.0088615
|
| 27 |
+
26, 0.97918, 0.66842, 1.1762, 0.89772, 0.88987, 0.94729, 0.75471, 0.72579, 0.47041, 1.043, 0.008812, 0.008812, 0.008812
|
| 28 |
+
27, 0.9703, 0.66467, 1.1673, 0.91926, 0.86989, 0.94826, 0.75589, 0.72523, 0.46818, 1.0432, 0.0087625, 0.0087625, 0.0087625
|
| 29 |
+
28, 0.96904, 0.65987, 1.1688, 0.92352, 0.87035, 0.94902, 0.75581, 0.72449, 0.46461, 1.0435, 0.008713, 0.008713, 0.008713
|
| 30 |
+
29, 0.96504, 0.65389, 1.162, 0.92192, 0.87454, 0.94919, 0.75662, 0.72283, 0.46176, 1.0423, 0.0086635, 0.0086635, 0.0086635
|
| 31 |
+
30, 0.96341, 0.64925, 1.1584, 0.91832, 0.87825, 0.9492, 0.75724, 0.72232, 0.46002, 1.0416, 0.008614, 0.008614, 0.008614
|
| 32 |
+
31, 0.95358, 0.64331, 1.1576, 0.91835, 0.87825, 0.94881, 0.75816, 0.72121, 0.45819, 1.0408, 0.0085645, 0.0085645, 0.0085645
|
| 33 |
+
32, 0.95112, 0.64281, 1.1521, 0.92571, 0.87175, 0.94914, 0.75824, 0.71959, 0.45878, 1.0402, 0.008515, 0.008515, 0.008515
|
| 34 |
+
33, 0.95041, 0.64185, 1.1526, 0.92486, 0.87128, 0.94926, 0.75774, 0.71948, 0.4594, 1.04, 0.0084655, 0.0084655, 0.0084655
|
| 35 |
+
34, 0.9442, 0.63422, 1.1501, 0.9203, 0.87467, 0.94946, 0.75944, 0.719, 0.45758, 1.0402, 0.008416, 0.008416, 0.008416
|
| 36 |
+
35, 0.942, 0.63354, 1.1486, 0.9206, 0.87314, 0.94926, 0.75954, 0.71826, 0.45792, 1.0394, 0.0083665, 0.0083665, 0.0083665
|
| 37 |
+
36, 0.94113, 0.63066, 1.149, 0.92279, 0.87191, 0.949, 0.76062, 0.71837, 0.45632, 1.0396, 0.008317, 0.008317, 0.008317
|
| 38 |
+
37, 0.93854, 0.62985, 1.1457, 0.9219, 0.87217, 0.94908, 0.76045, 0.71803, 0.45528, 1.0392, 0.0082675, 0.0082675, 0.0082675
|
| 39 |
+
38, 0.93312, 0.62389, 1.142, 0.91852, 0.87481, 0.94928, 0.76116, 0.71812, 0.45474, 1.0401, 0.008218, 0.008218, 0.008218
|
| 40 |
+
39, 0.93267, 0.61963, 1.142, 0.9184, 0.87407, 0.94925, 0.76113, 0.71723, 0.45409, 1.0394, 0.0081685, 0.0081685, 0.0081685
|
| 41 |
+
40, 0.92588, 0.6162, 1.1372, 0.91647, 0.87732, 0.95014, 0.76118, 0.71599, 0.45331, 1.0382, 0.008119, 0.008119, 0.008119
|
| 42 |
+
41, 0.91998, 0.61081, 1.1316, 0.8993, 0.89033, 0.94969, 0.76152, 0.71587, 0.45342, 1.0377, 0.0080695, 0.0080695, 0.0080695
|
| 43 |
+
42, 0.91924, 0.61048, 1.1326, 0.89795, 0.89541, 0.95029, 0.76224, 0.71588, 0.45294, 1.0372, 0.00802, 0.00802, 0.00802
|
| 44 |
+
43, 0.91513, 0.60732, 1.1292, 0.91484, 0.88058, 0.95038, 0.76272, 0.71575, 0.45315, 1.0378, 0.0079705, 0.0079705, 0.0079705
|
| 45 |
+
44, 0.91585, 0.60571, 1.1304, 0.91621, 0.879, 0.95043, 0.76354, 0.71529, 0.45337, 1.0377, 0.007921, 0.007921, 0.007921
|
| 46 |
+
45, 0.91263, 0.60363, 1.126, 0.9126, 0.8831, 0.95072, 0.7628, 0.71483, 0.45311, 1.0371, 0.0078715, 0.0078715, 0.0078715
|
| 47 |
+
46, 0.90767, 0.59735, 1.1229, 0.91328, 0.88151, 0.95072, 0.76267, 0.71414, 0.45215, 1.0363, 0.007822, 0.007822, 0.007822
|
| 48 |
+
47, 0.90385, 0.59444, 1.123, 0.91104, 0.88476, 0.9512, 0.76306, 0.71347, 0.45075, 1.0364, 0.0077725, 0.0077725, 0.0077725
|
| 49 |
+
48, 0.90559, 0.59562, 1.1223, 0.90886, 0.88615, 0.95103, 0.76332, 0.71353, 0.44913, 1.0365, 0.007723, 0.007723, 0.007723
|
| 50 |
+
49, 0.90056, 0.59332, 1.1194, 0.90943, 0.88708, 0.9512, 0.76311, 0.71292, 0.44813, 1.0361, 0.0076735, 0.0076735, 0.0076735
|
| 51 |
+
50, 0.89627, 0.59255, 1.1227, 0.91186, 0.88453, 0.95124, 0.76374, 0.71179, 0.44709, 1.0356, 0.007624, 0.007624, 0.007624
|
| 52 |
+
51, 0.89384, 0.58614, 1.1156, 0.90578, 0.88801, 0.95139, 0.76293, 0.7108, 0.44622, 1.0349, 0.0075745, 0.0075745, 0.0075745
|
| 53 |
+
52, 0.8955, 0.58778, 1.1163, 0.90548, 0.88801, 0.95118, 0.76354, 0.7107, 0.44533, 1.035, 0.007525, 0.007525, 0.007525
|
| 54 |
+
53, 0.89269, 0.5912, 1.1148, 0.89357, 0.90149, 0.95139, 0.76357, 0.71004, 0.44496, 1.0349, 0.0074755, 0.0074755, 0.0074755
|
| 55 |
+
54, 0.88741, 0.57951, 1.1122, 0.89952, 0.89638, 0.95178, 0.76456, 0.70918, 0.44481, 1.034, 0.007426, 0.007426, 0.007426
|
| 56 |
+
55, 0.88383, 0.57447, 1.1084, 0.90376, 0.89456, 0.95162, 0.7651, 0.70883, 0.44383, 1.0335, 0.0073765, 0.0073765, 0.0073765
|
| 57 |
+
56, 0.88217, 0.57538, 1.1097, 0.9044, 0.89498, 0.95143, 0.76539, 0.70856, 0.44316, 1.0332, 0.007327, 0.007327, 0.007327
|
| 58 |
+
57, 0.88163, 0.57644, 1.1058, 0.90402, 0.89498, 0.95144, 0.76509, 0.70776, 0.44228, 1.0325, 0.0072775, 0.0072775, 0.0072775
|
| 59 |
+
58, 0.88008, 0.57506, 1.1055, 0.90785, 0.89219, 0.95133, 0.76559, 0.70734, 0.44194, 1.0322, 0.007228, 0.007228, 0.007228
|
| 60 |
+
59, 0.87564, 0.57241, 1.1046, 0.90945, 0.8914, 0.9513, 0.76642, 0.70745, 0.44104, 1.0326, 0.0071785, 0.0071785, 0.0071785
|
| 61 |
+
60, 0.87613, 0.57003, 1.1003, 0.91085, 0.89173, 0.95074, 0.76611, 0.70701, 0.4404, 1.0317, 0.007129, 0.007129, 0.007129
|
| 62 |
+
61, 0.87067, 0.56306, 1.1003, 0.91195, 0.89126, 0.95096, 0.76566, 0.70634, 0.4393, 1.0316, 0.0070795, 0.0070795, 0.0070795
|
| 63 |
+
62, 0.86917, 0.56569, 1.1005, 0.91142, 0.88926, 0.95087, 0.76522, 0.70563, 0.43907, 1.0312, 0.00703, 0.00703, 0.00703
|
| 64 |
+
63, 0.86657, 0.56362, 1.1007, 0.90567, 0.89231, 0.95062, 0.76529, 0.7046, 0.4385, 1.0304, 0.0069805, 0.0069805, 0.0069805
|
| 65 |
+
64, 0.8668, 0.56335, 1.0963, 0.906, 0.89312, 0.95044, 0.76594, 0.70413, 0.43816, 1.0303, 0.006931, 0.006931, 0.006931
|
| 66 |
+
65, 0.86511, 0.56035, 1.0938, 0.90549, 0.89359, 0.95095, 0.76631, 0.70357, 0.43797, 1.0299, 0.0068815, 0.0068815, 0.0068815
|
| 67 |
+
66, 0.86276, 0.55869, 1.0974, 0.90418, 0.89498, 0.95064, 0.76681, 0.70306, 0.43768, 1.0299, 0.006832, 0.006832, 0.006832
|
| 68 |
+
67, 0.85974, 0.55577, 1.0933, 0.91019, 0.8901, 0.95025, 0.76626, 0.70295, 0.43702, 1.0301, 0.0067825, 0.0067825, 0.0067825
|
| 69 |
+
68, 0.85744, 0.55576, 1.0916, 0.90734, 0.89644, 0.95027, 0.76538, 0.70225, 0.43654, 1.0296, 0.006733, 0.006733, 0.006733
|
| 70 |
+
69, 0.85675, 0.55474, 1.0901, 0.9094, 0.89553, 0.95042, 0.76584, 0.70217, 0.4364, 1.0303, 0.0066835, 0.0066835, 0.0066835
|
| 71 |
+
70, 0.84879, 0.55026, 1.0869, 0.91041, 0.89591, 0.95038, 0.76628, 0.7018, 0.43577, 1.0297, 0.006634, 0.006634, 0.006634
|
| 72 |
+
71, 0.85031, 0.54836, 1.0847, 0.90939, 0.89539, 0.95081, 0.7666, 0.7016, 0.43539, 1.0295, 0.0065845, 0.0065845, 0.0065845
|
| 73 |
+
72, 0.85093, 0.55015, 1.0876, 0.90563, 0.89823, 0.95088, 0.76688, 0.70117, 0.43554, 1.0289, 0.006535, 0.006535, 0.006535
|
| 74 |
+
73, 0.84617, 0.54431, 1.085, 0.90509, 0.89823, 0.9508, 0.76849, 0.70098, 0.43579, 1.029, 0.0064855, 0.0064855, 0.0064855
|
| 75 |
+
74, 0.84168, 0.5427, 1.0809, 0.90513, 0.8987, 0.95069, 0.76813, 0.70151, 0.43645, 1.0292, 0.006436, 0.006436, 0.006436
|
| 76 |
+
75, 0.84182, 0.54047, 1.0804, 0.90232, 0.90149, 0.95062, 0.76809, 0.70081, 0.43526, 1.0287, 0.0063865, 0.0063865, 0.0063865
|
| 77 |
+
76, 0.84067, 0.54153, 1.08, 0.90697, 0.89591, 0.95091, 0.76818, 0.70089, 0.4348, 1.0286, 0.006337, 0.006337, 0.006337
|
| 78 |
+
77, 0.83934, 0.54018, 1.0799, 0.9052, 0.90056, 0.95074, 0.76867, 0.70169, 0.43413, 1.0297, 0.0062875, 0.0062875, 0.0062875
|
| 79 |
+
78, 0.8338, 0.536, 1.0766, 0.90688, 0.90055, 0.95089, 0.76943, 0.70226, 0.43409, 1.0298, 0.006238, 0.006238, 0.006238
|
| 80 |
+
79, 0.83504, 0.53741, 1.0767, 0.90679, 0.89959, 0.95093, 0.76822, 0.70244, 0.4341, 1.0295, 0.0061885, 0.0061885, 0.0061885
|
| 81 |
+
80, 0.83499, 0.53554, 1.078, 0.90802, 0.89908, 0.95085, 0.76868, 0.7026, 0.4336, 1.0294, 0.006139, 0.006139, 0.006139
|
| 82 |
+
81, 0.83293, 0.53476, 1.0786, 0.90828, 0.89736, 0.95078, 0.76851, 0.7021, 0.43319, 1.0291, 0.0060895, 0.0060895, 0.0060895
|
| 83 |
+
82, 0.82673, 0.53085, 1.0756, 0.90941, 0.89591, 0.9504, 0.76889, 0.70182, 0.43302, 1.0287, 0.00604, 0.00604, 0.00604
|
| 84 |
+
83, 0.82703, 0.52891, 1.0712, 0.90893, 0.89511, 0.95044, 0.76914, 0.70178, 0.43339, 1.0288, 0.0059905, 0.0059905, 0.0059905
|
| 85 |
+
84, 0.82279, 0.52563, 1.0688, 0.90702, 0.89312, 0.95026, 0.76953, 0.70107, 0.43362, 1.0282, 0.005941, 0.005941, 0.005941
|
| 86 |
+
85, 0.82189, 0.52564, 1.0717, 0.90156, 0.9022, 0.95028, 0.76974, 0.70095, 0.43325, 1.0278, 0.0058915, 0.0058915, 0.0058915
|
| 87 |
+
86, 0.82289, 0.5253, 1.0697, 0.90157, 0.90237, 0.9502, 0.76928, 0.70152, 0.4346, 1.0281, 0.005842, 0.005842, 0.005842
|
| 88 |
+
87, 0.8176, 0.52317, 1.0653, 0.89869, 0.90288, 0.94972, 0.76855, 0.70145, 0.43508, 1.028, 0.0057925, 0.0057925, 0.0057925
|
| 89 |
+
88, 0.81538, 0.52172, 1.0691, 0.90097, 0.90009, 0.94984, 0.76911, 0.70124, 0.43574, 1.028, 0.005743, 0.005743, 0.005743
|
| 90 |
+
89, 0.81164, 0.51888, 1.0665, 0.8965, 0.90162, 0.94986, 0.7694, 0.70058, 0.43549, 1.0277, 0.0056935, 0.0056935, 0.0056935
|
| 91 |
+
90, 0.8112, 0.51883, 1.0659, 0.92154, 0.8787, 0.94975, 0.76901, 0.70012, 0.4355, 1.028, 0.005644, 0.005644, 0.005644
|
| 92 |
+
91, 0.80647, 0.51367, 1.0631, 0.90291, 0.89887, 0.95015, 0.76843, 0.69949, 0.43532, 1.0274, 0.0055945, 0.0055945, 0.0055945
|
| 93 |
+
92, 0.81116, 0.51514, 1.0657, 0.90343, 0.8987, 0.94951, 0.76945, 0.69981, 0.43554, 1.0277, 0.005545, 0.005545, 0.005545
|
| 94 |
+
93, 0.80406, 0.51317, 1.0621, 0.90917, 0.88836, 0.94951, 0.7685, 0.69971, 0.43578, 1.0275, 0.0054955, 0.0054955, 0.0054955
|
| 95 |
+
94, 0.80134, 0.51175, 1.0636, 0.91151, 0.88708, 0.94905, 0.76833, 0.69961, 0.43697, 1.0272, 0.005446, 0.005446, 0.005446
|
| 96 |
+
95, 0.80058, 0.51067, 1.0592, 0.91391, 0.88429, 0.94898, 0.76903, 0.69937, 0.43774, 1.0272, 0.0053965, 0.0053965, 0.0053965
|
| 97 |
+
96, 0.80047, 0.50934, 1.0578, 0.91315, 0.88919, 0.94873, 0.76942, 0.69854, 0.43734, 1.0263, 0.005347, 0.005347, 0.005347
|
| 98 |
+
97, 0.7989, 0.50699, 1.0583, 0.9088, 0.89033, 0.94861, 0.76908, 0.69841, 0.43732, 1.0264, 0.0052975, 0.0052975, 0.0052975
|
| 99 |
+
98, 0.79749, 0.50599, 1.0592, 0.90607, 0.89199, 0.94838, 0.76872, 0.69838, 0.43771, 1.0263, 0.005248, 0.005248, 0.005248
|
| 100 |
+
99, 0.79273, 0.5049, 1.0577, 0.90716, 0.89173, 0.94838, 0.76891, 0.69868, 0.4384, 1.0268, 0.0051985, 0.0051985, 0.0051985
|
| 101 |
+
100, 0.79055, 0.50189, 1.0563, 0.90686, 0.89136, 0.94827, 0.76935, 0.69889, 0.43921, 1.0272, 0.005149, 0.005149, 0.005149
|
| 102 |
+
101, 0.78748, 0.49955, 1.0538, 0.90831, 0.88847, 0.9482, 0.76951, 0.69916, 0.43856, 1.0275, 0.0050995, 0.0050995, 0.0050995
|
| 103 |
+
102, 0.78923, 0.50047, 1.0534, 0.91655, 0.88429, 0.94836, 0.76925, 0.69961, 0.43834, 1.0279, 0.00505, 0.00505, 0.00505
|
| 104 |
+
103, 0.78621, 0.49935, 1.0502, 0.91585, 0.88507, 0.94827, 0.76875, 0.70034, 0.43952, 1.0283, 0.0050005, 0.0050005, 0.0050005
|
| 105 |
+
104, 0.78361, 0.49682, 1.0514, 0.91448, 0.88443, 0.94822, 0.76909, 0.70046, 0.43981, 1.0284, 0.004951, 0.004951, 0.004951
|
| 106 |
+
105, 0.77926, 0.49269, 1.0475, 0.91914, 0.88215, 0.94819, 0.76919, 0.70079, 0.43964, 1.0284, 0.0049015, 0.0049015, 0.0049015
|
| 107 |
+
106, 0.77861, 0.49371, 1.0479, 0.91779, 0.88186, 0.94782, 0.7683, 0.70084, 0.43957, 1.0283, 0.004852, 0.004852, 0.004852
|
| 108 |
+
107, 0.77711, 0.49209, 1.0495, 0.91919, 0.88268, 0.94805, 0.76903, 0.70062, 0.43975, 1.0285, 0.0048025, 0.0048025, 0.0048025
|
| 109 |
+
108, 0.77653, 0.4917, 1.0472, 0.91976, 0.88011, 0.94783, 0.76819, 0.6999, 0.43946, 1.0281, 0.004753, 0.004753, 0.004753
|
| 110 |
+
109, 0.7735, 0.48988, 1.0445, 0.91943, 0.88022, 0.94739, 0.76783, 0.69999, 0.44034, 1.0281, 0.0047035, 0.0047035, 0.0047035
|
| 111 |
+
110, 0.77145, 0.48638, 1.0444, 0.92116, 0.87954, 0.94731, 0.76816, 0.7003, 0.44066, 1.0289, 0.004654, 0.004654, 0.004654
|
| 112 |
+
111, 0.7682, 0.48809, 1.0404, 0.92288, 0.87872, 0.94736, 0.768, 0.70029, 0.44145, 1.0293, 0.0046045, 0.0046045, 0.0046045
|
| 113 |
+
112, 0.76738, 0.4855, 1.0427, 0.92172, 0.88096, 0.94745, 0.76751, 0.70018, 0.44125, 1.0295, 0.004555, 0.004555, 0.004555
|
| 114 |
+
113, 0.76663, 0.48203, 1.0433, 0.92184, 0.88241, 0.94648, 0.7672, 0.69993, 0.44175, 1.0296, 0.0045055, 0.0045055, 0.0045055
|
| 115 |
+
114, 0.76328, 0.48304, 1.0447, 0.91557, 0.88755, 0.94648, 0.76805, 0.69956, 0.4423, 1.0298, 0.004456, 0.004456, 0.004456
|
| 116 |
+
115, 0.75925, 0.47898, 1.0373, 0.91758, 0.88464, 0.94686, 0.76757, 0.6998, 0.44303, 1.0302, 0.0044065, 0.0044065, 0.0044065
|
| 117 |
+
116, 0.75928, 0.47568, 1.0361, 0.91634, 0.88567, 0.94623, 0.76699, 0.70009, 0.44347, 1.0303, 0.004357, 0.004357, 0.004357
|
| 118 |
+
117, 0.75681, 0.47579, 1.0348, 0.91549, 0.88601, 0.94603, 0.7663, 0.70062, 0.44337, 1.0308, 0.0043075, 0.0043075, 0.0043075
|
| 119 |
+
118, 0.75275, 0.47411, 1.0332, 0.91324, 0.88848, 0.94599, 0.76638, 0.70071, 0.44489, 1.0309, 0.004258, 0.004258, 0.004258
|
| 120 |
+
119, 0.75195, 0.47245, 1.033, 0.91193, 0.8901, 0.94643, 0.76698, 0.70077, 0.44507, 1.0316, 0.0042085, 0.0042085, 0.0042085
|
| 121 |
+
120, 0.74841, 0.47065, 1.0321, 0.91509, 0.88801, 0.94581, 0.76716, 0.70123, 0.44616, 1.0321, 0.004159, 0.004159, 0.004159
|
| 122 |
+
121, 0.75037, 0.4697, 1.0327, 0.913, 0.88801, 0.94625, 0.7673, 0.70134, 0.4465, 1.0322, 0.0041095, 0.0041095, 0.0041095
|
| 123 |
+
122, 0.74605, 0.4681, 1.0315, 0.92085, 0.88243, 0.94604, 0.76728, 0.70146, 0.44639, 1.0325, 0.00406, 0.00406, 0.00406
|
| 124 |
+
123, 0.74454, 0.46559, 1.0313, 0.92284, 0.88151, 0.94556, 0.76803, 0.70093, 0.44609, 1.0327, 0.0040105, 0.0040105, 0.0040105
|
| 125 |
+
124, 0.739, 0.46402, 1.0274, 0.92442, 0.88096, 0.94561, 0.7682, 0.70112, 0.44567, 1.0332, 0.003961, 0.003961, 0.003961
|
| 126 |
+
125, 0.738, 0.46474, 1.0292, 0.9248, 0.88007, 0.94533, 0.76828, 0.70127, 0.44582, 1.0335, 0.0039115, 0.0039115, 0.0039115
|
| 127 |
+
126, 0.73799, 0.46473, 1.0282, 0.92519, 0.87927, 0.94561, 0.76899, 0.70082, 0.44529, 1.0333, 0.003862, 0.003862, 0.003862
|
| 128 |
+
127, 0.73494, 0.45966, 1.0266, 0.92357, 0.88011, 0.94549, 0.76916, 0.70046, 0.44575, 1.0331, 0.0038125, 0.0038125, 0.0038125
|
| 129 |
+
128, 0.7325, 0.45701, 1.0233, 0.92373, 0.87965, 0.94529, 0.76956, 0.70016, 0.4464, 1.0328, 0.003763, 0.003763, 0.003763
|
| 130 |
+
129, 0.72799, 0.45553, 1.0212, 0.92352, 0.87825, 0.94448, 0.7688, 0.70031, 0.44696, 1.0328, 0.0037135, 0.0037135, 0.0037135
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head_detect_v0.1_s/results.png
ADDED
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ADDED
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head_detect_v0.2_s/PR_curve.png
ADDED
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head_detect_v0.2_s/P_curve.png
ADDED
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head_detect_v0.2_s/R_curve.png
ADDED
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head_detect_v0.2_s/confusion_matrix.png
ADDED
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head_detect_v0.2_s/confusion_matrix_normalized.png
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ADDED
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head_detect_v0.2_s/labels_correlogram.jpg
ADDED
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Git LFS Details
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head_detect_v0.2_s/model.pt
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ADDED
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{"names": ["head"], "yaml": {"nc": 1, "depth_multiple": 0.33, "width_multiple": 0.5, "backbone": [[-1, 1, "Conv", [64, 3, 2]], [-1, 1, "Conv", [128, 3, 2]], [-1, 3, "C2f", [128, true]], [-1, 1, "Conv", [256, 3, 2]], [-1, 6, "C2f", [256, true]], [-1, 1, "Conv", [512, 3, 2]], [-1, 6, "C2f", [512, true]], [-1, 1, "Conv", [1024, 3, 2]], [-1, 3, "C2f", [1024, true]], [-1, 1, "SPPF", [1024, 5]]], "head": [[-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 6], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 4], 1, "Concat", [1]], [-1, 3, "C2f", [256]], [-1, 1, "Conv", [256, 3, 2]], [[-1, 12], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "Conv", [512, 3, 2]], [[-1, 9], 1, "Concat", [1]], [-1, 3, "C2f", [1024]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 1, "args": {"model": "yolov8s.pt", "batch": 16, "imgsz": 640}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
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head_detect_v0.2_s/model_type.json
ADDED
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{
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head_detect_v0.2_s/results.csv
ADDED
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| 1 |
+
epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
|
| 2 |
+
1, 1.3536, 1.2941, 1.4519, 0.86422, 0.81105, 0.88903, 0.61887, 1.0393, 0.74214, 1.1811, 0.003332, 0.003332, 0.003332
|
| 3 |
+
2, 1.2132, 0.96947, 1.3188, 0.89743, 0.79122, 0.89435, 0.63716, 0.9939, 0.71817, 1.1928, 0.0065993, 0.0065993, 0.0065993
|
| 4 |
+
3, 1.2639, 1.0523, 1.362, 0.88453, 0.7905, 0.88518, 0.62174, 1.0499, 0.79678, 1.2197, 0.0098007, 0.0098007, 0.0098007
|
| 5 |
+
4, 1.2709, 1.0668, 1.3758, 0.8761, 0.81961, 0.89836, 0.63754, 0.9846, 0.72086, 1.1901, 0.009703, 0.009703, 0.009703
|
| 6 |
+
5, 1.2196, 0.98406, 1.3417, 0.90679, 0.82397, 0.91565, 0.67519, 0.91037, 0.63805, 1.1466, 0.009703, 0.009703, 0.009703
|
| 7 |
+
6, 1.1805, 0.92732, 1.3169, 0.90749, 0.83945, 0.92009, 0.68882, 0.87369, 0.61152, 1.1342, 0.009604, 0.009604, 0.009604
|
| 8 |
+
7, 1.1556, 0.8869, 1.2985, 0.91558, 0.84089, 0.92838, 0.69961, 0.85101, 0.59025, 1.1112, 0.009505, 0.009505, 0.009505
|
| 9 |
+
8, 1.1333, 0.85389, 1.2806, 0.90514, 0.85529, 0.93555, 0.71354, 0.83248, 0.55338, 1.0924, 0.009406, 0.009406, 0.009406
|
| 10 |
+
9, 1.1141, 0.83121, 1.2664, 0.9215, 0.84485, 0.93514, 0.72089, 0.80324, 0.53537, 1.0702, 0.009307, 0.009307, 0.009307
|
| 11 |
+
10, 1.0981, 0.8101, 1.2547, 0.91309, 0.86177, 0.93623, 0.7277, 0.7864, 0.52311, 1.0684, 0.009208, 0.009208, 0.009208
|
| 12 |
+
11, 1.0857, 0.79616, 1.2472, 0.92661, 0.85061, 0.94034, 0.73212, 0.77706, 0.50764, 1.0576, 0.009109, 0.009109, 0.009109
|
| 13 |
+
12, 1.0722, 0.77475, 1.2399, 0.9052, 0.88334, 0.9436, 0.73925, 0.76254, 0.49509, 1.0517, 0.00901, 0.00901, 0.00901
|
| 14 |
+
13, 1.0641, 0.76766, 1.2311, 0.896, 0.88701, 0.94331, 0.74057, 0.76524, 0.49681, 1.0489, 0.008911, 0.008911, 0.008911
|
| 15 |
+
14, 1.0534, 0.75511, 1.2219, 0.91075, 0.87791, 0.94588, 0.74403, 0.75788, 0.48542, 1.0459, 0.008812, 0.008812, 0.008812
|
| 16 |
+
15, 1.0468, 0.73933, 1.2145, 0.91083, 0.88614, 0.94747, 0.74737, 0.75309, 0.474, 1.0444, 0.008713, 0.008713, 0.008713
|
| 17 |
+
16, 1.032, 0.72906, 1.2057, 0.9189, 0.87905, 0.94863, 0.75174, 0.74556, 0.46475, 1.0404, 0.008614, 0.008614, 0.008614
|
| 18 |
+
17, 1.0275, 0.72257, 1.2015, 0.91498, 0.88373, 0.94811, 0.75353, 0.73772, 0.4617, 1.0341, 0.008515, 0.008515, 0.008515
|
| 19 |
+
18, 1.0222, 0.71124, 1.1994, 0.90818, 0.89345, 0.94703, 0.75292, 0.7391, 0.46343, 1.0353, 0.008416, 0.008416, 0.008416
|
| 20 |
+
19, 1.0128, 0.7023, 1.1937, 0.90589, 0.89402, 0.94832, 0.75395, 0.73744, 0.46571, 1.0345, 0.008317, 0.008317, 0.008317
|
| 21 |
+
20, 1.0084, 0.70364, 1.1929, 0.90138, 0.90281, 0.94938, 0.75796, 0.72857, 0.4596, 1.0294, 0.008218, 0.008218, 0.008218
|
| 22 |
+
21, 1.0018, 0.68892, 1.1796, 0.90529, 0.90146, 0.95045, 0.75997, 0.72871, 0.45465, 1.0288, 0.008119, 0.008119, 0.008119
|
| 23 |
+
22, 0.99255, 0.68391, 1.1794, 0.90606, 0.89927, 0.9505, 0.761, 0.72482, 0.45348, 1.0253, 0.00802, 0.00802, 0.00802
|
| 24 |
+
23, 0.99167, 0.67896, 1.1787, 0.90336, 0.9018, 0.95058, 0.76079, 0.72198, 0.45037, 1.025, 0.007921, 0.007921, 0.007921
|
| 25 |
+
24, 0.98249, 0.67205, 1.1762, 0.90519, 0.90046, 0.95067, 0.76062, 0.71854, 0.44874, 1.0232, 0.007822, 0.007822, 0.007822
|
| 26 |
+
25, 0.97823, 0.66531, 1.1685, 0.90802, 0.89911, 0.95094, 0.76175, 0.71673, 0.44659, 1.0225, 0.007723, 0.007723, 0.007723
|
| 27 |
+
26, 0.97322, 0.66016, 1.165, 0.90706, 0.89813, 0.95106, 0.76224, 0.71488, 0.44508, 1.0209, 0.007624, 0.007624, 0.007624
|
| 28 |
+
27, 0.96772, 0.65546, 1.1602, 0.90906, 0.89959, 0.95112, 0.76234, 0.71475, 0.4438, 1.0203, 0.007525, 0.007525, 0.007525
|
| 29 |
+
28, 0.96256, 0.64961, 1.1576, 0.91121, 0.89774, 0.9514, 0.76297, 0.71411, 0.44286, 1.0201, 0.007426, 0.007426, 0.007426
|
| 30 |
+
29, 0.95735, 0.64545, 1.1592, 0.90863, 0.89847, 0.95162, 0.76483, 0.71322, 0.44186, 1.0194, 0.007327, 0.007327, 0.007327
|
| 31 |
+
30, 0.95513, 0.64185, 1.1569, 0.91059, 0.89741, 0.95181, 0.76485, 0.71252, 0.44129, 1.0195, 0.007228, 0.007228, 0.007228
|
| 32 |
+
31, 0.94683, 0.6355, 1.1515, 0.9093, 0.89857, 0.95228, 0.76511, 0.71219, 0.44065, 1.0196, 0.007129, 0.007129, 0.007129
|
| 33 |
+
32, 0.94449, 0.63132, 1.1476, 0.90986, 0.89921, 0.95235, 0.76563, 0.7109, 0.4403, 1.0183, 0.00703, 0.00703, 0.00703
|
| 34 |
+
33, 0.94134, 0.62705, 1.1393, 0.90649, 0.90065, 0.95186, 0.76612, 0.71084, 0.43863, 1.0182, 0.006931, 0.006931, 0.006931
|
| 35 |
+
34, 0.93523, 0.62222, 1.1389, 0.90596, 0.90162, 0.95187, 0.76645, 0.71101, 0.43903, 1.0186, 0.006832, 0.006832, 0.006832
|
| 36 |
+
35, 0.93149, 0.6176, 1.1382, 0.9057, 0.90245, 0.95167, 0.76645, 0.71077, 0.43809, 1.0186, 0.006733, 0.006733, 0.006733
|
| 37 |
+
36, 0.9255, 0.61317, 1.1307, 0.90526, 0.90119, 0.95152, 0.76631, 0.7101, 0.43776, 1.0181, 0.006634, 0.006634, 0.006634
|
| 38 |
+
37, 0.92115, 0.60868, 1.1292, 0.90763, 0.89838, 0.95137, 0.76649, 0.71077, 0.43875, 1.0186, 0.006535, 0.006535, 0.006535
|
| 39 |
+
38, 0.91964, 0.60871, 1.1291, 0.90833, 0.89813, 0.9515, 0.76649, 0.71066, 0.43732, 1.0184, 0.006436, 0.006436, 0.006436
|
| 40 |
+
39, 0.91537, 0.60245, 1.128, 0.90963, 0.89777, 0.95156, 0.76651, 0.71004, 0.43612, 1.0182, 0.006337, 0.006337, 0.006337
|
| 41 |
+
40, 0.90814, 0.59803, 1.1224, 0.90643, 0.89965, 0.95189, 0.76673, 0.70962, 0.4364, 1.0174, 0.006238, 0.006238, 0.006238
|
| 42 |
+
41, 0.90831, 0.5967, 1.1191, 0.90823, 0.89885, 0.95172, 0.7674, 0.70924, 0.43489, 1.0171, 0.006139, 0.006139, 0.006139
|
| 43 |
+
42, 0.90207, 0.58889, 1.1141, 0.91336, 0.89489, 0.95175, 0.76826, 0.70941, 0.43431, 1.0169, 0.00604, 0.00604, 0.00604
|
| 44 |
+
43, 0.89696, 0.58777, 1.1147, 0.91097, 0.89741, 0.95194, 0.76854, 0.70955, 0.4333, 1.0166, 0.005941, 0.005941, 0.005941
|
| 45 |
+
44, 0.8922, 0.58305, 1.1156, 0.91735, 0.89103, 0.95185, 0.76834, 0.7095, 0.43275, 1.0164, 0.005842, 0.005842, 0.005842
|
| 46 |
+
45, 0.89152, 0.58207, 1.1109, 0.91597, 0.89201, 0.95192, 0.76839, 0.70871, 0.43202, 1.016, 0.005743, 0.005743, 0.005743
|
| 47 |
+
46, 0.88319, 0.57741, 1.1053, 0.91771, 0.89129, 0.95153, 0.76916, 0.70835, 0.43212, 1.0155, 0.005644, 0.005644, 0.005644
|
| 48 |
+
47, 0.87821, 0.57275, 1.1096, 0.91593, 0.89057, 0.95151, 0.76923, 0.70749, 0.4317, 1.015, 0.005545, 0.005545, 0.005545
|
| 49 |
+
48, 0.87749, 0.57305, 1.1079, 0.90462, 0.90471, 0.95123, 0.76939, 0.7066, 0.43135, 1.0144, 0.005446, 0.005446, 0.005446
|
| 50 |
+
49, 0.87251, 0.56675, 1.1025, 0.90192, 0.90702, 0.95159, 0.77, 0.70531, 0.43058, 1.0135, 0.005347, 0.005347, 0.005347
|
| 51 |
+
50, 0.86977, 0.56154, 1.1005, 0.90199, 0.90641, 0.95129, 0.76983, 0.70464, 0.42958, 1.0128, 0.005248, 0.005248, 0.005248
|
| 52 |
+
51, 0.86521, 0.55882, 1.0977, 0.9007, 0.9077, 0.95104, 0.76944, 0.70432, 0.42897, 1.0129, 0.005149, 0.005149, 0.005149
|
| 53 |
+
52, 0.85887, 0.556, 1.0932, 0.89904, 0.91037, 0.95124, 0.7699, 0.70429, 0.42853, 1.0126, 0.00505, 0.00505, 0.00505
|
| 54 |
+
53, 0.85684, 0.55199, 1.0882, 0.89917, 0.91166, 0.95124, 0.77046, 0.70383, 0.42753, 1.0119, 0.004951, 0.004951, 0.004951
|
| 55 |
+
54, 0.8533, 0.55103, 1.09, 0.89735, 0.91397, 0.95129, 0.77004, 0.70359, 0.42722, 1.0114, 0.004852, 0.004852, 0.004852
|
| 56 |
+
55, 0.85062, 0.54513, 1.0901, 0.90132, 0.90785, 0.95121, 0.76976, 0.70287, 0.42632, 1.0109, 0.004753, 0.004753, 0.004753
|
| 57 |
+
56, 0.84669, 0.54228, 1.0846, 0.90252, 0.9065, 0.9511, 0.76969, 0.70198, 0.42493, 1.0102, 0.004654, 0.004654, 0.004654
|
| 58 |
+
57, 0.83972, 0.54091, 1.0867, 0.90738, 0.90285, 0.95108, 0.76973, 0.70249, 0.42474, 1.0107, 0.004555, 0.004555, 0.004555
|
| 59 |
+
58, 0.83897, 0.53652, 1.0828, 0.90918, 0.90065, 0.9512, 0.76977, 0.7022, 0.42364, 1.01, 0.004456, 0.004456, 0.004456
|
| 60 |
+
59, 0.8343, 0.5338, 1.0756, 0.90939, 0.90281, 0.95135, 0.77048, 0.7023, 0.42381, 1.0099, 0.004357, 0.004357, 0.004357
|
| 61 |
+
60, 0.82809, 0.52844, 1.0771, 0.91269, 0.89931, 0.95149, 0.77111, 0.70224, 0.42293, 1.0099, 0.004258, 0.004258, 0.004258
|
| 62 |
+
61, 0.82905, 0.52745, 1.0755, 0.91128, 0.90214, 0.95128, 0.77151, 0.70227, 0.42263, 1.0098, 0.004159, 0.004159, 0.004159
|
| 63 |
+
62, 0.82132, 0.51737, 1.068, 0.91059, 0.90181, 0.95109, 0.77172, 0.70304, 0.42247, 1.0105, 0.00406, 0.00406, 0.00406
|
| 64 |
+
63, 0.81836, 0.51596, 1.0678, 0.91091, 0.90173, 0.95122, 0.77169, 0.70312, 0.42204, 1.0103, 0.003961, 0.003961, 0.003961
|
| 65 |
+
64, 0.81609, 0.51444, 1.0704, 0.90966, 0.9025, 0.95116, 0.77153, 0.70294, 0.42187, 1.0106, 0.003862, 0.003862, 0.003862
|
| 66 |
+
65, 0.80945, 0.51141, 1.0647, 0.90807, 0.90316, 0.95103, 0.77181, 0.70299, 0.42056, 1.0111, 0.003763, 0.003763, 0.003763
|
| 67 |
+
66, 0.80358, 0.50847, 1.063, 0.90614, 0.90425, 0.95121, 0.7715, 0.70265, 0.4197, 1.011, 0.003664, 0.003664, 0.003664
|
| 68 |
+
67, 0.80185, 0.50552, 1.06, 0.9071, 0.90337, 0.95076, 0.77192, 0.70208, 0.41952, 1.0107, 0.003565, 0.003565, 0.003565
|
| 69 |
+
68, 0.79717, 0.50254, 1.0555, 0.90646, 0.90389, 0.95067, 0.77258, 0.70252, 0.41943, 1.0109, 0.003466, 0.003466, 0.003466
|
| 70 |
+
69, 0.79429, 0.49755, 1.056, 0.90661, 0.90281, 0.95101, 0.77312, 0.70246, 0.4196, 1.0107, 0.003367, 0.003367, 0.003367
|
| 71 |
+
70, 0.79007, 0.49637, 1.0529, 0.90674, 0.90296, 0.95081, 0.77281, 0.7026, 0.41989, 1.0103, 0.003268, 0.003268, 0.003268
|
| 72 |
+
71, 0.7845, 0.49101, 1.0517, 0.90833, 0.89887, 0.95075, 0.77315, 0.70263, 0.4196, 1.0103, 0.003169, 0.003169, 0.003169
|
| 73 |
+
72, 0.78206, 0.48812, 1.0516, 0.90605, 0.90265, 0.95053, 0.77273, 0.70333, 0.41953, 1.0108, 0.00307, 0.00307, 0.00307
|
| 74 |
+
73, 0.77852, 0.48559, 1.0469, 0.908, 0.89886, 0.95064, 0.77309, 0.70385, 0.41829, 1.0114, 0.002971, 0.002971, 0.002971
|
| 75 |
+
74, 0.77016, 0.48281, 1.0444, 0.90675, 0.89954, 0.95068, 0.77312, 0.704, 0.41898, 1.0117, 0.002872, 0.002872, 0.002872
|
| 76 |
+
75, 0.76676, 0.47826, 1.0411, 0.90329, 0.90443, 0.95067, 0.77276, 0.70486, 0.41923, 1.0124, 0.002773, 0.002773, 0.002773
|
| 77 |
+
76, 0.76325, 0.47348, 1.0369, 0.90124, 0.90669, 0.95076, 0.7731, 0.7051, 0.4195, 1.0123, 0.002674, 0.002674, 0.002674
|
| 78 |
+
77, 0.75697, 0.46852, 1.0392, 0.90029, 0.90713, 0.9505, 0.77324, 0.70544, 0.41864, 1.0125, 0.002575, 0.002575, 0.002575
|
| 79 |
+
78, 0.75413, 0.46629, 1.0404, 0.9186, 0.89057, 0.95022, 0.77413, 0.70557, 0.41867, 1.0127, 0.002476, 0.002476, 0.002476
|
| 80 |
+
79, 0.75369, 0.4681, 1.0427, 0.91787, 0.89057, 0.95031, 0.774, 0.70559, 0.41867, 1.013, 0.002377, 0.002377, 0.002377
|
| 81 |
+
80, 0.74229, 0.46035, 1.0318, 0.9079, 0.89957, 0.95029, 0.77452, 0.70538, 0.41765, 1.0126, 0.002278, 0.002278, 0.002278
|
| 82 |
+
81, 0.73977, 0.45654, 1.0308, 0.9063, 0.90176, 0.94985, 0.77442, 0.70593, 0.41752, 1.0132, 0.002179, 0.002179, 0.002179
|
| 83 |
+
82, 0.73265, 0.45242, 1.0275, 0.90637, 0.90257, 0.94996, 0.7749, 0.70561, 0.41709, 1.0129, 0.00208, 0.00208, 0.00208
|
| 84 |
+
83, 0.73051, 0.44777, 1.0251, 0.90495, 0.90533, 0.94995, 0.77503, 0.70537, 0.41586, 1.0128, 0.001981, 0.001981, 0.001981
|
| 85 |
+
84, 0.72135, 0.44189, 1.0203, 0.90818, 0.90078, 0.95014, 0.77496, 0.70473, 0.41595, 1.0119, 0.001882, 0.001882, 0.001882
|
| 86 |
+
85, 0.71811, 0.44078, 1.0184, 0.90821, 0.90111, 0.94999, 0.77469, 0.70513, 0.41712, 1.0122, 0.001783, 0.001783, 0.001783
|
| 87 |
+
86, 0.71651, 0.44046, 1.0204, 0.90688, 0.90281, 0.94976, 0.77447, 0.70495, 0.41747, 1.0115, 0.001684, 0.001684, 0.001684
|
| 88 |
+
87, 0.71013, 0.4359, 1.0175, 0.90975, 0.89624, 0.94913, 0.77456, 0.70587, 0.41879, 1.0124, 0.001585, 0.001585, 0.001585
|
| 89 |
+
88, 0.70754, 0.43258, 1.0138, 0.91252, 0.89369, 0.94887, 0.77419, 0.70587, 0.41883, 1.0121, 0.001486, 0.001486, 0.001486
|
| 90 |
+
89, 0.70058, 0.42675, 1.0106, 0.91188, 0.89561, 0.94882, 0.77449, 0.70599, 0.41932, 1.0123, 0.001387, 0.001387, 0.001387
|
| 91 |
+
90, 0.69679, 0.42538, 1.0076, 0.91293, 0.89345, 0.94857, 0.77345, 0.70627, 0.41939, 1.0122, 0.001288, 0.001288, 0.001288
|
| 92 |
+
91, 0.64629, 0.31917, 0.97598, 0.92207, 0.88587, 0.94853, 0.77399, 0.70602, 0.4192, 1.0118, 0.001189, 0.001189, 0.001189
|
| 93 |
+
92, 0.63008, 0.31024, 0.96798, 0.92209, 0.8862, 0.94833, 0.7739, 0.70612, 0.41919, 1.0119, 0.00109, 0.00109, 0.00109
|
| 94 |
+
93, 0.62123, 0.30666, 0.96562, 0.9223, 0.88661, 0.94826, 0.77402, 0.70612, 0.41979, 1.0122, 0.000991, 0.000991, 0.000991
|
| 95 |
+
94, 0.61079, 0.30124, 0.95643, 0.92119, 0.8878, 0.94835, 0.77416, 0.70615, 0.42078, 1.0123, 0.000892, 0.000892, 0.000892
|
| 96 |
+
95, 0.60212, 0.2952, 0.95189, 0.91959, 0.88915, 0.94808, 0.7743, 0.70611, 0.42181, 1.0121, 0.000793, 0.000793, 0.000793
|
| 97 |
+
96, 0.59563, 0.29058, 0.95096, 0.91853, 0.88949, 0.94797, 0.77481, 0.70711, 0.42364, 1.0133, 0.000694, 0.000694, 0.000694
|
| 98 |
+
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|
| 99 |
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|
| 100 |
+
99, 0.57028, 0.27956, 0.93816, 0.91984, 0.89222, 0.94683, 0.77459, 0.70842, 0.4265, 1.015, 0.000397, 0.000397, 0.000397
|
| 101 |
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head_detect_v0.2_s/results.png
ADDED
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head_detect_v0.2_s/threshold.json
ADDED
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head_detect_v0.2_s_plus/F1_curve.png
ADDED
|
head_detect_v0.2_s_plus/PR_curve.png
ADDED
|
head_detect_v0.2_s_plus/P_curve.png
ADDED
|
head_detect_v0.2_s_plus/R_curve.png
ADDED
|
head_detect_v0.2_s_plus/confusion_matrix.png
ADDED
|
head_detect_v0.2_s_plus/confusion_matrix_normalized.png
ADDED
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head_detect_v0.2_s_plus/events.out.tfevents.1726491150.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1904023.0
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head_detect_v0.2_s_plus/labels.jpg
ADDED
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Git LFS Details
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head_detect_v0.2_s_plus/labels.json
ADDED
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[
|
| 2 |
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"head"
|
| 3 |
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|
head_detect_v0.2_s_plus/labels_correlogram.jpg
ADDED
|
Git LFS Details
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head_detect_v0.2_s_plus/model.onnx
ADDED
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head_detect_v0.2_s_plus/model.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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head_detect_v0.2_s_plus/model_type.json
ADDED
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|
| 1 |
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{
|
| 2 |
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"model_type": "yolo"
|
| 3 |
+
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|
head_detect_v0.2_s_plus/results.csv
ADDED
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|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
|
| 2 |
+
1, 1.4844, 1.652, 1.565, 0.85202, 0.78965, 0.87041, 0.5412, 1.294, 0.80549, 1.3023, 0.003314, 0.003314, 0.003314
|
| 3 |
+
2, 1.1786, 0.90723, 1.2939, 0.8478, 0.80814, 0.88546, 0.62922, 1.0596, 0.72106, 1.1787, 0.0065815, 0.0065815, 0.0065815
|
| 4 |
+
3, 1.1679, 0.88927, 1.284, 0.83967, 0.73794, 0.8273, 0.57586, 1.1126, 1.0418, 1.247, 0.009783, 0.009783, 0.009783
|
| 5 |
+
4, 1.1763, 0.90422, 1.2967, 0.86706, 0.7851, 0.86943, 0.62569, 1.0194, 0.84562, 1.2102, 0.009703, 0.009703, 0.009703
|
| 6 |
+
5, 1.1473, 0.86271, 1.2794, 0.87933, 0.82361, 0.89851, 0.63332, 1.0667, 0.72054, 1.2021, 0.009703, 0.009703, 0.009703
|
| 7 |
+
6, 1.1166, 0.82634, 1.263, 0.89646, 0.81658, 0.91234, 0.65054, 1.0626, 0.68407, 1.2033, 0.009604, 0.009604, 0.009604
|
| 8 |
+
7, 1.0968, 0.79541, 1.2465, 0.9074, 0.83243, 0.91421, 0.68467, 0.9406, 0.63841, 1.1498, 0.009505, 0.009505, 0.009505
|
| 9 |
+
8, 1.0759, 0.77545, 1.2368, 0.88338, 0.8289, 0.90698, 0.66796, 0.98717, 0.67085, 1.1763, 0.009406, 0.009406, 0.009406
|
| 10 |
+
9, 1.0597, 0.75363, 1.2235, 0.90388, 0.84125, 0.92116, 0.69806, 0.91355, 0.60705, 1.1261, 0.009307, 0.009307, 0.009307
|
| 11 |
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10, 1.0511, 0.73938, 1.2142, 0.89355, 0.84907, 0.91803, 0.69418, 0.91375, 0.61098, 1.1358, 0.009208, 0.009208, 0.009208
|
| 12 |
+
11, 1.0341, 0.72024, 1.2073, 0.90208, 0.82901, 0.9183, 0.6859, 0.95489, 0.61697, 1.1497, 0.009109, 0.009109, 0.009109
|
| 13 |
+
12, 1.0222, 0.70864, 1.1968, 0.90541, 0.85997, 0.93007, 0.71073, 0.89682, 0.56636, 1.121, 0.00901, 0.00901, 0.00901
|
| 14 |
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|
| 15 |
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14, 1.003, 0.68589, 1.183, 0.90223, 0.85205, 0.92521, 0.70351, 0.90253, 0.5841, 1.1206, 0.008812, 0.008812, 0.008812
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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18, 0.9739, 0.65483, 1.1651, 0.90904, 0.85622, 0.93416, 0.72048, 0.88571, 0.54983, 1.1091, 0.008416, 0.008416, 0.008416
|
| 20 |
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|
| 21 |
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20, 0.95835, 0.63692, 1.1541, 0.90208, 0.86223, 0.93299, 0.71535, 0.89708, 0.55298, 1.1124, 0.008218, 0.008218, 0.008218
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| 22 |
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21, 0.95069, 0.63361, 1.1459, 0.91093, 0.86514, 0.93502, 0.72649, 0.8779, 0.53188, 1.0998, 0.008119, 0.008119, 0.008119
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| 23 |
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22, 0.94132, 0.6247, 1.1384, 0.91733, 0.85997, 0.9361, 0.72701, 0.87017, 0.53228, 1.1099, 0.00802, 0.00802, 0.00802
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| 24 |
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23, 0.93712, 0.61657, 1.1398, 0.91776, 0.84017, 0.91937, 0.70403, 0.90089, 0.57033, 1.1161, 0.007921, 0.007921, 0.007921
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| 25 |
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24, 0.93214, 0.61195, 1.132, 0.90823, 0.85421, 0.93216, 0.729, 0.84835, 0.53689, 1.0761, 0.007822, 0.007822, 0.007822
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| 26 |
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25, 0.92229, 0.60676, 1.1295, 0.90468, 0.86573, 0.93662, 0.73787, 0.84653, 0.52486, 1.0863, 0.007723, 0.007723, 0.007723
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| 27 |
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26, 0.91853, 0.60081, 1.1256, 0.90169, 0.86933, 0.93569, 0.7311, 0.8699, 0.5253, 1.089, 0.007624, 0.007624, 0.007624
|
| 28 |
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27, 0.91411, 0.59788, 1.1221, 0.91619, 0.85277, 0.93047, 0.72178, 0.87458, 0.54074, 1.0915, 0.007525, 0.007525, 0.007525
|
| 29 |
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28, 0.9056, 0.59076, 1.1184, 0.89035, 0.87725, 0.93294, 0.7257, 0.86674, 0.53957, 1.0921, 0.007426, 0.007426, 0.007426
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
+
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|
| 35 |
+
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|
| 36 |
+
35, 0.86947, 0.55926, 1.0972, 0.92319, 0.8653, 0.94157, 0.74346, 0.8448, 0.49844, 1.0857, 0.006733, 0.006733, 0.006733
|
| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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40, 0.847, 0.53939, 1.0876, 0.90294, 0.88697, 0.94192, 0.75137, 0.828, 0.4905, 1.0707, 0.006238, 0.006238, 0.006238
|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 53 |
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|
| 70 |
+
69, 0.72492, 0.44627, 1.0197, 0.92666, 0.88841, 0.95171, 0.77764, 0.78427, 0.44659, 1.0575, 0.003367, 0.003367, 0.003367
|
| 71 |
+
70, 0.71906, 0.44088, 1.0179, 0.93011, 0.87905, 0.95116, 0.77715, 0.78593, 0.44833, 1.0574, 0.003268, 0.003268, 0.003268
|
| 72 |
+
71, 0.71602, 0.43954, 1.0135, 0.93198, 0.87799, 0.95064, 0.77745, 0.78398, 0.45024, 1.0541, 0.003169, 0.003169, 0.003169
|
| 73 |
+
72, 0.71303, 0.43544, 1.0125, 0.91191, 0.89957, 0.95027, 0.77548, 0.78269, 0.44762, 1.0547, 0.00307, 0.00307, 0.00307
|
| 74 |
+
73, 0.70932, 0.43461, 1.0132, 0.91558, 0.89633, 0.94948, 0.77583, 0.78231, 0.45002, 1.0559, 0.002971, 0.002971, 0.002971
|
| 75 |
+
74, 0.70449, 0.42955, 1.0119, 0.93413, 0.87797, 0.94884, 0.77634, 0.78057, 0.45435, 1.0545, 0.002872, 0.002872, 0.002872
|
| 76 |
+
75, 0.69728, 0.42584, 1.0069, 0.93211, 0.87973, 0.94872, 0.77533, 0.78072, 0.456, 1.0539, 0.002773, 0.002773, 0.002773
|
| 77 |
+
76, 0.69218, 0.42004, 1.0027, 0.91622, 0.89237, 0.94862, 0.77569, 0.78342, 0.45785, 1.0556, 0.002674, 0.002674, 0.002674
|
| 78 |
+
77, 0.68754, 0.41767, 1.0023, 0.93347, 0.88387, 0.94877, 0.77635, 0.78307, 0.45812, 1.0541, 0.002575, 0.002575, 0.002575
|
| 79 |
+
78, 0.68371, 0.41555, 0.99774, 0.93395, 0.88337, 0.94845, 0.77572, 0.78253, 0.46034, 1.054, 0.002476, 0.002476, 0.002476
|
| 80 |
+
79, 0.67777, 0.41209, 0.9969, 0.92788, 0.88913, 0.94823, 0.77525, 0.78377, 0.46094, 1.0554, 0.002377, 0.002377, 0.002377
|
| 81 |
+
80, 0.67607, 0.40814, 0.99557, 0.9239, 0.89129, 0.94818, 0.77535, 0.78394, 0.4613, 1.0549, 0.002278, 0.002278, 0.002278
|
| 82 |
+
81, 0.6682, 0.40524, 0.99425, 0.92661, 0.89021, 0.94902, 0.77542, 0.78391, 0.46118, 1.0557, 0.002179, 0.002179, 0.002179
|
| 83 |
+
82, 0.66303, 0.40011, 0.98698, 0.92721, 0.88951, 0.94836, 0.77568, 0.78525, 0.46214, 1.0562, 0.00208, 0.00208, 0.00208
|
| 84 |
+
83, 0.65805, 0.39885, 0.9892, 0.92619, 0.88991, 0.94905, 0.7766, 0.78465, 0.46067, 1.0567, 0.001981, 0.001981, 0.001981
|
| 85 |
+
84, 0.65516, 0.39537, 0.98626, 0.93244, 0.88949, 0.9492, 0.77659, 0.78462, 0.46153, 1.0571, 0.001882, 0.001882, 0.001882
|
| 86 |
+
85, 0.65073, 0.39183, 0.98097, 0.93127, 0.88771, 0.94875, 0.77683, 0.78481, 0.46071, 1.057, 0.001783, 0.001783, 0.001783
|
| 87 |
+
86, 0.64586, 0.38838, 0.9804, 0.93064, 0.88864, 0.94893, 0.77663, 0.78578, 0.4604, 1.058, 0.001684, 0.001684, 0.001684
|
| 88 |
+
87, 0.64079, 0.3868, 0.98023, 0.93375, 0.88791, 0.94928, 0.77642, 0.78605, 0.45979, 1.0588, 0.001585, 0.001585, 0.001585
|
| 89 |
+
88, 0.63343, 0.38149, 0.97778, 0.93574, 0.88588, 0.9495, 0.77687, 0.78624, 0.45989, 1.0589, 0.001486, 0.001486, 0.001486
|
| 90 |
+
89, 0.62867, 0.37937, 0.97564, 0.93309, 0.88848, 0.94996, 0.77697, 0.7862, 0.46095, 1.0594, 0.001387, 0.001387, 0.001387
|
| 91 |
+
90, 0.6249, 0.37369, 0.9741, 0.93339, 0.88772, 0.94964, 0.77713, 0.78602, 0.46094, 1.0602, 0.001288, 0.001288, 0.001288
|
| 92 |
+
91, 0.5691, 0.28137, 0.93204, 0.93089, 0.88877, 0.94966, 0.77692, 0.78686, 0.4619, 1.0615, 0.001189, 0.001189, 0.001189
|
| 93 |
+
92, 0.55077, 0.27082, 0.92409, 0.93261, 0.88841, 0.94972, 0.77735, 0.78697, 0.46348, 1.0627, 0.00109, 0.00109, 0.00109
|
| 94 |
+
93, 0.5395, 0.26651, 0.91953, 0.93106, 0.88949, 0.94956, 0.77769, 0.78718, 0.46448, 1.0641, 0.000991, 0.000991, 0.000991
|
| 95 |
+
94, 0.52939, 0.2605, 0.91494, 0.93021, 0.89021, 0.94947, 0.77889, 0.78692, 0.46552, 1.064, 0.000892, 0.000892, 0.000892
|
| 96 |
+
95, 0.52367, 0.25833, 0.9116, 0.93008, 0.89057, 0.94954, 0.77855, 0.78705, 0.46745, 1.0646, 0.000793, 0.000793, 0.000793
|
| 97 |
+
96, 0.5127, 0.25363, 0.90586, 0.9301, 0.88949, 0.94935, 0.77888, 0.78841, 0.46904, 1.0664, 0.000694, 0.000694, 0.000694
|
| 98 |
+
97, 0.50316, 0.24878, 0.90398, 0.94132, 0.87869, 0.94892, 0.7789, 0.78794, 0.4692, 1.066, 0.000595, 0.000595, 0.000595
|
| 99 |
+
98, 0.4986, 0.24586, 0.90224, 0.94311, 0.87728, 0.94914, 0.77931, 0.78789, 0.47049, 1.0666, 0.000496, 0.000496, 0.000496
|
| 100 |
+
99, 0.48721, 0.24076, 0.89724, 0.94239, 0.8774, 0.94909, 0.77986, 0.78837, 0.47247, 1.0675, 0.000397, 0.000397, 0.000397
|
| 101 |
+
100, 0.48207, 0.23822, 0.89398, 0.94239, 0.8774, 0.94874, 0.7796, 0.78877, 0.47354, 1.0686, 0.000298, 0.000298, 0.000298
|