Dataset Versions
Versions
v1
2023-11-30 7:31am
Generated on Nov 30, 2023
23788 Total Images
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Dataset Split
Train Set 82%
19576Images
Valid Set 12%
2808Images
Test Set 6%
1404Images
Preprocessing
Static Crop: 44-83% Horizontal Region, 33-65% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -31° and +31°
Shear: ±20° Horizontal, ±25° Vertical
Saturation: Between -45% and +45%
Brightness: Between -46% and +46%