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README.md
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# Yolov8x Tuned to Hand Gestures
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# Yolov8x Tuned to Hand Gestures
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Yolo v8x Finetuned on the [hand gestures roboflow dataset.](https://universe.roboflow.com/hand-gestures-recognition/hand-gestures-dataset)
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## Inference
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```from ultralyticsplus import YOLO, render_result
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# load model
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model = YOLO('lewiswatson/yolov8x-tuned-hand-gestures')
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# set image
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image = 'https://thumbs.dreamstime.com/b/young-man-showing-peace-sign-isolated-over-yellow-background-133210696.jpg'
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# perform inference
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results = model.predict(image)
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# observe results
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print(results[0].boxes)
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render = render_result(model=model, image=image, result=results[0])
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render.show()```
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## Training Parameters
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Trained using [Ultralytics](https://ultralytics.com/) and [Ultralyticsplus](https://pypi.org/project/ultralyticsplus/).
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- Epochs: 10
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- Optimiser: SGD
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- Patience 50
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- Imgsz: 640
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- Batch: -1
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