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- # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
- # Ultralytics YOLO11-cls image classification model with ResNet18 backbone
- # Model docs: https://docs.ultralytics.com/models/yolo11
- # Task docs: https://docs.ultralytics.com/tasks/classify
- # Parameters
- nc: 10 # number of classes
- scales: # model compound scaling constants, i.e. 'model=yolo11n-cls.yaml' will call yolo11-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]
- # ResNet18 backbone
- backbone:
- # [from, repeats, module, args]
- - [-1, 1, TorchVision, [512, "resnet18", "DEFAULT", True, 2]] # truncate two layers from the end
- # YOLO11n head
- head:
- - [-1, 1, Classify, [nc]] # Classify
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