Dataset Versions
v4
2024-02-19 10:26pm
Generated on Feb 20, 2024
6862 Total Images
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Dataset Split
Train Set 87%
6003Images
Valid Set 8%
574Images
Test Set 4%
285Images
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, 10% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels