Dataset Versions
v9
2024-07-03 5:33pm
Generated on Jul 3, 2024
2673 Total Images
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Dataset Split
Train Set 94%
2511Images
Valid Set 4%
108Images
Test Set 2%
54Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1.09% of pixels