Dataset Versions
Versions
v1
2023-08-15 12:33am
Generated on Aug 14, 2023
26359 Total Images
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Dataset Split
Train Set 94%
24897Images
Valid Set %
0Images
Test Set 6%
1462Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±22° Horizontal, ±22° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 25% size each