Dataset Versions
v3
2024-04-01 5:03pm
Generated on Apr 1, 2024
1509 Total Images
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Dataset Split
Train Set 87%
1320Images
Valid Set 8%
126Images
Test Set 4%
63Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 1.3px
Noise: Up to 0.73% of pixels