Dataset Versions
v11
2024-11-21 8:42pm
Generated on Nov 21, 2024
2734 Total Images
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Dataset Split
Train Set 74%
2034Images
Valid Set 11%
313Images
Test Set 14%
387Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -18° and +18°
Saturation: Between -25% and +25%
Brightness: Between -23% and +0%
Exposure: Between -14% and +14%
Blur: Up to 1.5px
Noise: Up to 0.38% of pixels