Dataset Versions
v2
2024-07-30 5:44am
Generated on Jul 30, 2024
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
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 -19% and +0%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 0.38% of pixels