Dataset Versions
v2
2023-10-13 2:09pm
Generated on Oct 13, 2023
901 Total Images
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Dataset Split
Train Set 96%
861Images
Valid Set 4%
40Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±17° Horizontal, ±17° Vertical
Hue: Between -33° and +33°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down