Dataset Versions
v6
2024-05-01 11:54am
Generated on May 1, 2024
320 Total Images
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Dataset Split
Train Set 78%
248Images
Valid Set 15%
48Images
Test Set 8%
24Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -33% and +33%
Noise: Up to 0% of pixels