人工智能|深度学习——YOLOV8结构图
YOLOV8
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YoloV8相对于YoloV5的改进点:
- Replace the C3 module with the C2f module.
- Replace the first 6x6 Conv with 3x3 Conv in the Backbone.
- Delete two Convs (No.10 and No.14 in the YOLOv5 config).
- Replace the first 1x1 Conv with 3x3 Conv in the Bottleneck.
- Use decoupled head and delete the objectness branch.
- anchor free.
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