Dataset Versions
v2
2024-03-14 3:37pm
Generated on Mar 14, 2024
1084 Total Images
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Dataset Split
Train Set 87%
948Images
Valid Set 8%
90Images
Test Set 4%
46Images
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