Dataset Versions
v5
2024-12-13 5:13pm
Generated on Dec 13, 2024
1442 Total Images
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Dataset Split
Train Set 99%
1422Images
Valid Set 1%
10Images
Test Set 1%
10Images
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 -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.7px
Noise: Up to 1.33% of pixels