Dataset Versions
v2
2023-03-04 4:39pm
Generated on Mar 4, 2023
17443 Total Images
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Dataset Split
Train Set 94%
16350Images
Valid Set 3%
596Images
Test Set 3%
497Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Blur: Up to 3px
Noise: Up to 17% of pixels
Cutout: 5 boxes with 28% size each