Dataset Versions
v1
2023-06-19 1:40am
Generated on Jun 18, 2023
5548 Total Images
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Dataset Split
Train Set 88%
4860Images
Valid Set 8%
460Images
Test Set 4%
228Images
Preprocessing
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 30% of images
Hue: Between -15° and +15°
Saturation: Between -55% and +55%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%