Dataset Versions
v3
2023-03-07 3:22pm
Generated on Mar 7, 2023
1082 Total Images
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Dataset Split
Train Set 87%
936Images
Valid Set 8%
83Images
Test Set 6%
63Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -33° and +33°
Shear: ±17° Horizontal, ±14° Vertical
Grayscale: Apply to 48% of images
Hue: Between -63° and +63°
Saturation: Between -46% and +46%
Brightness: Between -30% and +30%
Exposure: Between -14% and +14%
Blur: Up to 4.25px
Noise: Up to 5% of pixels
Cutout: 23 boxes with 4% size each
Mosaic: Applied
Bounding Box: Blur: Up to 7.5px