Dataset Versions
Versions
v1
2025-01-02 4:38pm
Generated on Jan 2, 2025
3378 Total Images
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Dataset Split
Train Set 87%
2955Images
Valid Set 8%
282Images
Test Set 4%
141Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%