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- # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
- # Ultralytics YOLO11-obb Oriented Bounding Boxes (OBB) model with P3/8 - P5/32 outputs
- # Model docs: https://docs.ultralytics.com/models/yolo11
- # Task docs: https://docs.ultralytics.com/tasks/obb
- # Parameters
- nc: 80 # number of classes
- scales: # model compound scaling constants, i.e. 'model=yolo11n-obb.yaml' will call yolo11-obb.yaml with scale 'n'
- # [depth, width, max_channels]
- n: [0.50, 0.25, 1024] # summary: 344 layers, 2695747 parameters, 2695731 gradients, 6.9 GFLOPs
- s: [0.50, 0.50, 1024] # summary: 344 layers, 9744931 parameters, 9744915 gradients, 22.7 GFLOPs
- m: [0.50, 1.00, 512] # summary: 434 layers, 20963523 parameters, 20963507 gradients, 72.2 GFLOPs
- l: [1.00, 1.00, 512] # summary: 656 layers, 26220995 parameters, 26220979 gradients, 91.3 GFLOPs
- x: [1.00, 1.50, 512] # summary: 656 layers, 58875331 parameters, 58875315 gradients, 204.3 GFLOPs
- # YOLO11n 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, 2, C3k2, [256, False, 0.25]]
- - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
- - [-1, 2, C3k2, [512, False, 0.25]]
- - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
- - [-1, 2, C3k2, [512, True]]
- - [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32
- - [-1, 2, C3k2, [1024, True]]
- - [-1, 1, SPPF, [1024, 5]] # 9
- - [-1, 2, C2PSA, [1024]] # 10
- # YOLO11n head
- head:
- - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- - [[-1, 6], 1, Concat, [1]] # cat backbone P4
- - [-1, 2, C3k2, [512, False]] # 13
- - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- - [[-1, 4], 1, Concat, [1]] # cat backbone P3
- - [-1, 2, C3k2, [256, False]] # 16 (P3/8-small)
- - [-1, 1, Conv, [256, 3, 2]]
- - [[-1, 13], 1, Concat, [1]] # cat head P4
- - [-1, 2, C3k2, [512, False]] # 19 (P4/16-medium)
- - [-1, 1, Conv, [512, 3, 2]]
- - [[-1, 10], 1, Concat, [1]] # cat head P5
- - [-1, 2, C3k2, [1024, True]] # 22 (P5/32-large)
- - [[16, 19, 22], 1, OBB, [nc, 1]] # Detect(P3, P4, P5)
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