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@@ -4,7 +4,7 @@ This model detects hand gestures for use as input controls for video games. It u
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  The goal of the project is to explore whether computer vision–based gesture recognition can provide a low-cost and accessible alternative to traditional game controllers.
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  ### Training Approach
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- The model was trained using the nano version of YOLOv8 through the Ultralytics training framework.
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  The model was trained from pretrained YOLOv8n weights and fine-tuned on a custom hand gesture dataset.
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  ### Intended Use Cases
 
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  The goal of the project is to explore whether computer vision–based gesture recognition can provide a low-cost and accessible alternative to traditional game controllers.
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  ### Training Approach
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+ The model was trained using the nano version of YOLOv8 (YOLOv8n) through the Ultralytics training framework.
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  The model was trained from pretrained YOLOv8n weights and fine-tuned on a custom hand gesture dataset.
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  ### Intended Use Cases