Dataset Versions
v14
2024-05-20 8:55am
Generated on May 20, 2024
2263 Total Images
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Dataset Split
Train Set 69%
1563Images
Valid Set 15%
350Images
Test Set 15%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -17% and +17%