Dataset Versions
v4
2024-05-07 3:28pm
Generated on May 7, 2024
274 Total Images
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Dataset Split
Train Set 88%
240Images
Valid Set 9%
24Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%
Brightness: Between -15% and +15%