Dataset Versions
v3
2024-05-13 10:36am
Generated on May 13, 2024
7181 Total Images
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Dataset Split
Train Set 85%
6120Images
Valid Set 14%
995Images
Test Set 1%
66Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise
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%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels