Dataset Versions
v2
2024-09-24 11:44pm
Generated on Sep 24, 2024
316 Total Images
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Dataset Split
Train Set 87%
276Images
Valid Set 9%
27Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Exposure: Between -11% and +11%
Noise: Up to 1.96% of pixels