Dataset Versions
v13
D4
Generated on Sep 8, 2023
1882 Total Images
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Dataset Split
Train Set 88%
1647Images
Valid Set 8%
156Images
Test Set 4%
79Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 1px
Mosaic: Applied