Dataset Versions
v3
2024-04-09 11:05am
Generated on Apr 9, 2024
3080 Total Images
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Dataset Split
Train Set 96%
2970Images
Valid Set 2%
55Images
Test Set 2%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 709x749
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 0.6px