Dataset Versions
Versions
v1
2024-02-19 3:21pm
Generated on Feb 19, 2024
5432 Total Images
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Dataset Split
Train Set 88%
4764Images
Valid Set 6%
332Images
Test Set 6%
336Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels