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README.md
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# SurgiCare_V1_best
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I used EfficientNet-B3 to train for 25 epochs, monitoring the validation loss.
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Accuracy: 0.9062 Approximately 11 seconds per image.
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
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# SurgiCare_V1_fast
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I used MobileNetV3Large to train for 50 epochs, monitoring the validation loss.
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Accuracy: 0.7969 Approximately 5 seconds per image.
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
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# SurgiCare_V1_mini
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I used MobileNetV3Small to train for 50 epochs, monitoring the validation loss.
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Accuracy: 0.7812 Approximately 4 seconds per image.
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
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# SurgiCare_V1_best
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I used EfficientNet-B3 to train for 25 epochs, monitoring the validation loss.
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* Accuracy: 0.9062 Approximately 11 seconds per image.
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
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# SurgiCare_V1_fast
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I used MobileNetV3Large to train for 50 epochs, monitoring the validation loss.
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* Accuracy: 0.7969 Approximately 5 seconds per image.
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
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# SurgiCare_V1_mini
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I used MobileNetV3Small to train for 50 epochs, monitoring the validation loss.
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* Accuracy: 0.7812 Approximately 4 seconds per image.
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
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