Dataset Versions
v2
v2
Generated on May 27, 2024
11397 Total Images
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Dataset Split
Train Set 88%
9978Images
Valid Set 8%
946Images
Test Set 4%
473Images
Preprocessing
Auto-Orient: Applied
Static Crop: 6-91% Horizontal Region, 21-85% Vertical Region
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Blur: Up to 0.4px
Noise: Up to 1.45% of pixels