Dataset Versions
v4
2023-11-28 12:48pm
Generated on Nov 28, 2023
4994 Total Images
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Dataset Split
Train Set 87%
4368Images
Valid Set 8%
418Images
Test Set 4%
208Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -33° and +33°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -6% and +6%
Brightness: Between -14% and +14%
Blur: Up to 0.75px
Cutout: 12 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°