Dataset Versions
v2
2023-07-25 7:20pm
Generated on Jul 25, 2023
1426 Total Images
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Dataset Split
Train Set 88%
1248Images
Valid Set 8%
120Images
Test Set 4%
58Images
Preprocessing
Modify Classes: 32 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 75% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each