Dataset Versions
v2
2022-04-11 10:13pm
Generated on Apr 11, 2022
26000 Total Images
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Dataset Split
Train Set 92%
24000Images
Valid Set 8%
2000Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each