Dataset Versions
v1
2024-10-24 11:30am
Generated on Oct 24, 2024
29 Total Images
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Dataset Split
Train Set %
0Images
Valid Set 90%
26Images
Test Set 10%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 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