Dataset Versions
v7
2024-03-03 6:48pm
Generated on Mar 3, 2024
8241 Total Images
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Dataset Split
Train Set 88%
7215Images
Valid Set 8%
686Images
Test Set 4%
340Images
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, 5% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels