Dataset Versions
v6
2024-03-19 11:20am
Generated on Mar 19, 2024
3189 Total Images
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Dataset Split
Train Set 87%
2790Images
Valid Set 8%
267Images
Test Set 4%
132Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels