Dataset Versions
Versions
v1
2024-07-05 4:30pm
Generated on Jul 5, 2024
137 Total Images
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Dataset Split
Train Set 88%
120Images
Valid Set 8%
11Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px