Dataset Versions
v2
2024-03-16 11:56am
Generated on Mar 16, 2024
3104 Total Images
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Dataset Split
Train Set 82%
2560Images
Valid Set 12%
368Images
Test Set 6%
176Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±10° Vertical
Exposure: Between -29% and +29%
Blur: Up to 2.5px