Dataset Versions
v1
2024-06-19 7:24am
Generated on Jun 19, 2024
52 Total Images
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Dataset Split
Train Set 87%
45Images
Valid Set 10%
5Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1.5px