Dataset Versions
v4
2024-02-12 2:06pm
Generated on Feb 12, 2024
1560 Total Images
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Dataset Split
Train Set 92%
1440Images
Valid Set %
0Images
Test Set 8%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 299x299
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -20% and +20%
Brightness: Between 0% and +20%