Dataset Versions
Versions
v2
2023-11-10 2:26pm
Generated on Nov 10, 2023
13640 Total Images
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Dataset Split
Train Set 82%
11160Images
Valid Set 9%
1240Images
Test Set 9%
1240Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 160x160
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Cutout: 10 boxes with 5% size each