Dataset Versions
Versions
v2
2024-09-05 8:37am
Generated on Sep 5, 2024
478 Total Images
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Dataset Split
Train Set 95%
453Images
Valid Set 3%
15Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Blur: Up to 1.1px