Instructions to use cvtechniques/VideoGameHandGestures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cvtechniques/VideoGameHandGestures with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("cvtechniques/VideoGameHandGestures") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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* Complex or cluttered backgrounds
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* Low confidence detections
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* Ambiguous or blurred gesture poses
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These issues highlight areas where the model could be improved with more diverse training data.
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* Complex or cluttered backgrounds
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* Low confidence detections
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* Ambiguous or blurred gesture poses
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These issues highlight areas where the model could be improved with more diverse training data.
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***
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# Limitations and Biases
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### Known Failure Cases
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<img alt= "Failure Cases" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/BoxPR_curve.png" width="1100" height="700"></img>
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