Dataset Versions
v6
2024-10-17 1:35pm
Generated on Oct 17, 2024
3177 Total Images
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Dataset Split
Train Set 89%
2814Images
Valid Set 8%
247Images
Test Set 4%
116Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x1000
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 23% of images
Hue: Between -23° and +23°
Saturation: Between -21% and +21%
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 1.8px
Noise: Up to 2.04% of pixels