KefanZhan/YOLOv8-KD
Awesome Knowledge Distillation Methods Implemented on YOLOv8
This project helps machine learning engineers and researchers improve the efficiency of their object detection models. It takes an existing, large YOLOv8 object detection model and distills its 'knowledge' into a smaller, faster model. The output is a more compact object detection model that retains much of the original model's accuracy, suitable for deployment on devices with limited computational resources.
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Use this if you need to create smaller, faster, and more efficient object detection models from larger YOLOv8 models without significantly sacrificing accuracy.
Not ideal if you are working with object detection models other than YOLOv8 or if your primary goal is to train a model from scratch.
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Python
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Last pushed
Jul 30, 2025
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