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VideoGameHandGestures

Object Detection
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computer-vision
yolov8
gesture-recognition
gaming
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@@ -139,4 +139,9 @@ Base model: YOLOv8n (Nano)
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  <img alt= "Per-Class Performance" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/perclass_perf.png" width="1000" height="180"></img>
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  **Sample Class Images**
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- <img alt= "Sample Images" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/sample_images.png" width="1100" height="700"></img>
 
 
 
 
 
 
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  <img alt= "Per-Class Performance" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/perclass_perf.png" width="1000" height="180"></img>
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  **Sample Class Images**
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+ <img alt= "Sample Images" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/sample_images.png" width="1100" height="700"></img>
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+
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+ ### Key Visualizations
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+ <img alt= "Confusion Matrix" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/confusion_matrix_normalized.png" width="1100" height="700"></img>
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+ <img alt= "F1 Curve" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/BoxF1_curve.png" width="1100" height="700"></img>
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+ <img alt= "Precision-Recall Curve" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/BoxPR_curve.png" width="1100" height="700"></img>