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YOLOv3 introduces several design improvements over its predecessor, enhancing accuracy while maintaining speed, achieving 28.2 mAP at 320x320 resolution with a processing time of 22 ms. The network utilizes a new feature extractor, Darknet-53, which combines elements from previous architectures and allows for multi-scale predictions, improving performance on small objects. Despite its advancements, YOLOv3 still faces challenges with medium and large objects, indicating areas for further research.

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tatakaesenpai40

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EN