NAI_BHQ_Ortho_For_Arm_Set_2 Dataset
Versions
2022-09-18 4:34pm
v17
· 2 years ago
2022-09-18 4:33pm
v16
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2022-09-18 4:33pm
v15
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2022-09-18 4:32pm
v14
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2022-09-18 4:32pm
v13
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2022-09-18 4:31pm
v12
· 2 years ago
2022-09-18 4:30pm
v11
· 2 years ago
2022-09-18 4:29pm
v10
· 2 years ago
2022-09-14 6:44pm
v9
· 2 years ago
2022-09-14 6:38pm
v8
· 2 years ago
2022-09-14 6:36pm
v7
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2022-09-14 6:36pm
v6
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2022-09-14 6:35pm
v5
· 2 years ago
2022-09-14 6:25pm
v4
· 2 years ago
2022-09-14 6:21pm
v3
· 2 years ago
v9
2022-09-14 6:44pm
Generated on Sep 14, 2022
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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153 Total Images
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Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels