Dataset Versions
v2
2024-10-29 10:38am
Generated on Oct 29, 2024
12288 Total Images
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Dataset Split
Train Set 88%
10752Images
Valid Set 8%
1024Images
Test Set 4%
512Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -180° and +180°
Saturation: Between -34% and +34%
Brightness: Between -62% and +62%
Blur: Up to 1px