Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
24 lines
794 B
YAML
24 lines
794 B
YAML
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Ultralytics YOLO11-cls image classification model with ResNet18 backbone
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# Model docs: https://docs.ultralytics.com/models/yolo11
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# Task docs: https://docs.ultralytics.com/tasks/classify
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# Parameters
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nc: 10 # number of classes
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scales: # model compound scaling constants, i.e. 'model=yolo11n-cls.yaml' will call yolo11-cls.yaml with scale 'n'
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# [depth, width, max_channels]
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n: [0.33, 0.25, 1024]
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s: [0.33, 0.50, 1024]
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m: [0.67, 0.75, 1024]
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l: [1.00, 1.00, 1024]
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x: [1.00, 1.25, 1024]
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# ResNet18 backbone
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backbone:
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# [from, repeats, module, args]
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- [-1, 1, TorchVision, [512, "resnet18", "DEFAULT", True, 2]] # truncate two layers from the end
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# YOLO11n head
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head:
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- [-1, 1, Classify, [nc]] # Classify
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