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- # 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
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