Dataset Versions
v2
2024-10-24 11:09am
Generated on Oct 24, 2024
101 Total Images
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Dataset Split
Train Set 83%
84Images
Valid Set 14%
14Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 7
Rotation: Between -2° and +2°
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Brightness: Between -2% and +2%
Exposure: Between -2% and +2%
Noise: Up to 0.1% of pixels