Versions
v9
2025-01-10 8:21pm
Generated on Jan 10, 2025
2300 Total Images
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Dataset Split
Train Set 88%
2013Images
Valid Set 8%
193Images
Test Set 4%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.9px
Noise: Up to 1.92% of pixels