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--- |
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license: agpl-3.0 |
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pipeline_tag: object-detection |
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tags: |
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- ultralytics |
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- tracking |
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- instance-segmentation |
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- image-classification |
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- pose-estimation |
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- obb |
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- object-detection |
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- yolo |
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- yolov8 |
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library_name: ultralytics |
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model-index: |
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- name: ultralytics/yolo11 |
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results: |
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- task: |
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type: object-detection |
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dataset: |
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type: merve/coco |
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name: coco |
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split: validation |
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metrics: |
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- type: precision |
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value: 54.7 |
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name: [email protected]:0.95 |
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--- |
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--- |
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[Ultralytics](https://www.ultralytics.com/) [YOLO12](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. |
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YOLO12 is a versatile model that supports a wide range of core computer vision tasks. It excels in object detection, instance segmentation, image classification, pose estimation, and oriented object detection. |
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This is an ONNX version of Ultralytics YOLO12 modified for the usage of Transformers.js (WebNN backend). |
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