Dataset Versions
v3
2022-11-08 10:03am
Generated on Nov 8, 2022
1623 Total Images
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Dataset Split
Train Set 92%
1500Images
Valid Set 6%
102Images
Test Set 1%
21Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -101° and +101°
Saturation: Between -64% and +64%