Dataset Versions
v15
2024-05-21 9:20am
Generated on May 21, 2024
2652 Total Images
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Dataset Split
Train Set 77%
2052Images
Valid Set 11%
300Images
Test Set 11%
300Images
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%