Dataset Versions
v5
2023-01-18 7:35am
Generated on Jan 18, 2023
361 Total Images
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Dataset Split
Train Set 86%
309Images
Valid Set 9%
32Images
Test Set 6%
20Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels