Dataset Versions
Versions
v1
2024-02-12 4:19am
Generated on Feb 12, 2024
2284 Total Images
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Dataset Split
Train Set 87%
1998Images
Valid Set 6%
143Images
Test Set 6%
143Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.65% of pixels