Dataset Versions
v16
2023-09-10 5:20pm
Generated on Sep 10, 2023
1645 Total Images
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Dataset Split
Train Set 88%
1455Images
Valid Set 8%
127Images
Test Set 4%
63Images
Preprocessing
Resize: Stretch to 672x376
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels