Keypoint Detection
ultralytics
carfusion
pose
vehicle-keypoints
yolo
pose-estimation
computer-vision
sim-to-real
Eval Results (legacy)
Instructions to use kiselyovd/vehicle-keypoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use kiselyovd/vehicle-keypoints with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("kiselyovd/vehicle-keypoints", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download hero.jpg from kiselyovd/vehicle-keypoints: direct link, hf CLI and curl.
- Browser
- Download file 158 kB
-
https://huggingface.co/kiselyovd/vehicle-keypoints/resolve/main/hero.jpg
- Command line
-
hf download hf://kiselyovd/vehicle-keypoints/hero.jpg
-
curl -L -o hero.jpg https://huggingface.co/kiselyovd/vehicle-keypoints/resolve/main/hero.jpg
158 kB

- Xet hash:
- b95f210bffacd0a47852a9a31f676edf04d7bcc24242ed620ac258c3b1101836
- Size of remote file:
- 158 kB
- SHA256:
- a45de9a9ea93032c65787ee75a29aece77fe3cfa930f909c0983039b177b51a4
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