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Add YOLOv13 multitask task heads, preflight validation, and Turing flash backend controls #79

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b6f519b
Add multitask configs, task preflight checks, and flash backend controls
ahmedelbamby-aast Apr 2, 2026
4e20b0c
Update ultralytics/utils/metrics.py
ahmedelbamby-aast Apr 2, 2026
c0bf190
Update ultralytics/data/utils.py
ahmedelbamby-aast Apr 2, 2026
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52 changes: 52 additions & 0 deletions ultralytics/cfg/models/v13/yolov13-obb.yaml
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nc: 80 # number of classes
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
m: [0.75, 0.75, 768] # Medium
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
xl: [1.25, 1.75, 512] # Extra Large Plus

backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, OBB, [nc, 1]]
53 changes: 53 additions & 0 deletions ultralytics/cfg/models/v13/yolov13-pose.yaml
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nc: 80 # number of classes
kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
m: [0.75, 0.75, 768] # Medium
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
xl: [1.25, 1.75, 512] # Extra Large Plus

backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, Pose, [nc, kpt_shape]]
52 changes: 52 additions & 0 deletions ultralytics/cfg/models/v13/yolov13-seg.yaml
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nc: 80 # number of classes
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
m: [0.75, 0.75, 768] # Medium
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
xl: [1.25, 1.75, 512] # Extra Large Plus

backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, Segment, [nc, 32, 256]]
49 changes: 49 additions & 0 deletions ultralytics/cfg/models/v13/yolov13l-obb.yaml
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nc: 80 # number of classes
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, OBB, [nc, 1]]
50 changes: 50 additions & 0 deletions ultralytics/cfg/models/v13/yolov13l-pose.yaml
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nc: 80 # number of classes
kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, Pose, [nc, kpt_shape]]
49 changes: 49 additions & 0 deletions ultralytics/cfg/models/v13/yolov13l-seg.yaml
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Original file line number Diff line number Diff line change
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nc: 80 # number of classes
scales: # model compound scaling constants
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large
backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]]
- [-1, 1, Conv, [128, 3, 2, 1, 2]]
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]]
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]]
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]]
- [-1, 4, A2C2f, [1024, True, 1]]

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []]
- [[4, 10], 1, FullPAD_Tunnel, []]
- [[8, 11], 1, FullPAD_Tunnel, []]

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]]
- [-1, 2, DSC3k2, [256, True]]
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []]

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]]
- [-1, 2, DSC3k2, [512, True]]
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]]
- [-1, 2, DSC3k2, [1024, True]]
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, Segment, [nc, 32, 256]]
50 changes: 50 additions & 0 deletions ultralytics/cfg/models/v13/yolov13l.yaml
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nc: 80 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolov13n.yaml' will call yolov13.yaml with scale 'n'
# [depth, width, max_channels]
n: [0.50, 0.25, 1024] # Nano
s: [0.50, 0.50, 1024] # Small
l: [1.00, 1.00, 512] # Large
x: [1.00, 1.50, 512] # Extra Large

backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [128, 3, 2, 1, 2]] # 1-P2/4
- [-1, 2, DSC3k2, [256, False, 0.25]]
- [-1, 1, Conv, [256, 3, 2, 1, 4]] # 3-P3/8
- [-1, 2, DSC3k2, [512, False, 0.25]]
- [-1, 1, DSConv, [512, 3, 2]] # 5-P4/16
- [-1, 4, A2C2f, [512, True, 4]]
- [-1, 1, DSConv, [1024, 3, 2]] # 7-P5/32
- [-1, 4, A2C2f, [1024, True, 1]] # 8

head:
- [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, "both"]]
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [ 9, 1, DownsampleConv, []]
- [[6, 9], 1, FullPAD_Tunnel, []] #12
- [[4, 10], 1, FullPAD_Tunnel, []] #13
- [[8, 11], 1, FullPAD_Tunnel, []] #14

- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 12], 1, Concat, [1]] # cat backbone P4
- [-1, 2, DSC3k2, [512, True]] # 17
- [[-1, 9], 1, FullPAD_Tunnel, []] #18

- [17, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 13], 1, Concat, [1]] # cat backbone P3
- [-1, 2, DSC3k2, [256, True]] # 21
- [10, 1, Conv, [256, 1, 1]]
- [[21, 22], 1, FullPAD_Tunnel, []] #23

- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 18], 1, Concat, [1]] # cat head P4
- [-1, 2, DSC3k2, [512, True]] # 26
- [[-1, 9], 1, FullPAD_Tunnel, []]

- [26, 1, Conv, [512, 3, 2]]
- [[-1, 14], 1, Concat, [1]] # cat head P5
- [-1, 2, DSC3k2, [1024,True]] # 30 (P5/32-large)
- [[-1, 11], 1, FullPAD_Tunnel, []]

- [[23, 27, 31], 1, Detect, [nc]] # Detect(P3, P4, P5)
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