Dataset Versions
v4
Fourth Version
Generated on May 8, 2024
947 Total Images
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Dataset Split
Train Set 88%
837Images
Valid Set 6%
56Images
Test Set 6%
54Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 0-75% Vertical Region
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.1px