Dataset Versions
v2
2024-08-21 6:42pm
Generated on Aug 21, 2024
2225 Total Images
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Dataset Split
Train Set 88%
1947Images
Valid Set 8%
185Images
Test Set 4%
93Images
Preprocessing
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±17° Vertical
Grayscale: Apply to 8% of images
Hue: Between -148° and +148°
Noise: Up to 1.8% of pixels