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@ -9,7 +9,7 @@ scales: # model compound scaling constants, i.e. 'model=yolov8n.yaml' will call |
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s: [0.50, 0.50, 1024] # YOLOv8s summary: 225 layers, 11166560 parameters, 11166544 gradients, 28.8 GFLOPs |
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m: [0.50, 1.00, 512] # YOLOv8m summary: 295 layers, 25902640 parameters, 25902624 gradients, 79.3 GFLOPs |
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l: [1.00, 1.00, 512] # YOLOv8l summary: 365 layers, 43691520 parameters, 43691504 gradients, 165.7 GFLOPs |
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x: [1.00, 1.25, 512] # YOLOv8x summary: 365 layers, 68229648 parameters, 68229632 gradients, 258.5 GFLOPs |
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x: [1.00, 1.50, 512] # YOLOv8x summary: 365 layers, 68229648 parameters, 68229632 gradients, 258.5 GFLOPs |
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# YOLOv8.0n backbone |
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backbone: |
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