Dataset Versions
v5
2024-08-10 6:03am
Generated on Aug 10, 2024
2345 Total Images
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Dataset Split
Train Set 92%
2157Images
Valid Set 4%
90Images
Test Set 4%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 160x1024
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%