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Update yolov8-p6.yaml with model parameters and GFLOPs (#13862)

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Glenn Jocher 2024-06-21 22:53:38 +02:00 • committed by GitHub
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ultralytics/cfg/models/v8/yolov8-p6.yaml
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@ -5,11 +5,11 @@
nc: 80 # number of classes nc: 80 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolov8n-p6.yaml' will call yolov8-p6.yaml with scale 'n' scales: # model compound scaling constants, i.e. 'model=yolov8n-p6.yaml' will call yolov8-p6.yaml with scale 'n'
# [depth, width, max_channels] # [depth, width, max_channels]
n: [0.33, 0.25, 1024] n: [0.33, 0.25, 1024] # YOLOv8n-p6 summary (fused): 220 layers, 4976656 parameters, 42560 gradients, 8.7 GFLOPs
s: [0.33, 0.50, 1024] s: [0.33, 0.50, 1024] # YOLOv8s-p6 summary (fused): 220 layers, 17897168 parameters, 57920 gradients, 28.5 GFLOPs
m: [0.67, 0.75, 768] m: [0.67, 0.75, 768] # YOLOv8m-p6 summary (fused): 285 layers, 44862352 parameters, 78400 gradients, 83.1 GFLOPs
l: [1.00, 1.00, 512] l: [1.00, 1.00, 512] # YOLOv8l-p6 summary (fused): 350 layers, 62351440 parameters, 98880 gradients, 167.3 GFLOPs
x: [1.00, 1.25, 512] x: [1.00, 1.25, 512] # YOLOv8x-p6 summary (fused): 350 layers, 97382352 parameters, 123456 gradients, 261.1 GFLOPs
# YOLOv8.0x6 backbone # YOLOv8.0x6 backbone
backbone: backbone: