33 lines
1.4 KiB
YAML
33 lines
1.4 KiB
YAML
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# YOLO12-cls image classification model
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# Model docs: https://docs.ultralytics.com/models/yolo12
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# Task docs: https://docs.ultralytics.com/tasks/classify
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# Parameters
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nc: 80 # number of classes
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scales: # model compound scaling constants, i.e. 'model=yolo12n-cls.yaml' will call yolo12-cls.yaml with scale 'n'
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# [depth, width, max_channels]
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n: [0.50, 0.25, 1024] # summary: 152 layers, 1,820,976 parameters, 1,820,976 gradients, 3.7 GFLOPs
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s: [0.50, 0.50, 1024] # summary: 152 layers, 6,206,992 parameters, 6,206,992 gradients, 13.6 GFLOPs
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m: [0.50, 1.00, 512] # summary: 172 layers, 12,083,088 parameters, 12,083,088 gradients, 44.2 GFLOPs
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l: [1.00, 1.00, 512] # summary: 312 layers, 15,558,640 parameters, 15,558,640 gradients, 56.9 GFLOPs
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x: [1.00, 1.50, 512] # summary: 312 layers, 34,172,592 parameters, 34,172,592 gradients, 126.5 GFLOPs
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# YOLO12n backbone
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backbone:
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# [from, repeats, module, args]
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- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
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- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4
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- [-1, 2, C3k2, [256, False, 0.25]]
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- [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
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- [-1, 2, C3k2, [512, False, 0.25]]
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- [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
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- [-1, 4, A2C2f, [512, True, 4]]
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- [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32
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- [-1, 4, A2C2f, [1024, True, 1]] # 8
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# YOLO12n head
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head:
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- [-1, 1, Classify, [nc]] # Classify
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