Dataset Versions
Versions
v1
2023-06-09 12:48pm
Generated on Jun 9, 2023
23751 Total Images
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Dataset Split
Train Set 88%
20784Images
Valid Set 8%
1978Images
Test Set 4%
989Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each