Dataset Versions
v1
2024-09-26 7:09pm
Generated on Sep 26, 2024
3468 Total Images
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Dataset Split
Train Set 87%
3003Images
Valid Set 11%
365Images
Test Set 3%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x320
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels