Dataset Versions
Versions
v4
2024-09-21 7:58am
Generated on Sep 21, 2024
4760 Total Images
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Dataset Split
Train Set 70%
3345Images
Valid Set 20%
945Images
Test Set 10%
470Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Saturation: Between -24% and +24%
Brightness: Between -22% and +22%
Blur: Up to 2.5px
Noise: Up to 1% of pixels