| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| # YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify | |
| # Parameters | |
| nc: 1000 # number of classes | |
| scales: # model compound scaling constants, i.e. 'model=yolov8n-cls.yaml' will call yolov8-cls.yaml with scale 'n' | |
| # [depth, width, max_channels] | |
| n: [0.33, 0.25, 1024] | |
| s: [0.33, 0.50, 1024] | |
| m: [0.67, 0.75, 1024] | |
| l: [1.00, 1.00, 1024] | |
| x: [1.00, 1.25, 1024] | |
| # YOLOv8.0n backbone | |
| backbone: | |
| # [from, repeats, module, args] | |
| - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2 | |
| - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4 | |
| - [-1, 3, C2f, [128, True]] | |
| - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8 | |
| - [-1, 6, C2f, [256, True]] | |
| - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16 | |
| - [-1, 6, C2f, [512, True]] | |
| - [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32 | |
| - [-1, 3, C2f, [1024, True]] | |
| # YOLOv8.0n head | |
| head: | |
| - [-1, 1, Classify, [nc]] # Classify | |