Dataset Versions
v6
2024-05-10 6:12pm
Generated on May 10, 2024
3437 Total Images
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Dataset Split
Train Set 96%
3300Images
Valid Set 3%
94Images
Test Set 1%
43Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 47-84% Vertical Region
Resize: Stretch to 256x256
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, 30% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%
Exposure: Between -15% and +15%