Dataset Versions
Versions
v2
2024-04-05 10:02am
Generated on Apr 5, 2024
20031 Total Images
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Dataset Split
Train Set 100%
20031Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±12° Vertical
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 1.5px
Noise: Up to 0.69% of pixels