Dataset Versions
v2
2023-03-29 4:26pm
Generated on Mar 29, 2023
3280 Total Images
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Dataset Split
Train Set 90%
2960Images
Valid Set 4%
144Images
Test Set 5%
176Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 5
Saturation: Between -61% and +61%
Exposure: Between -50% and +50%
Blur: Up to 2.25px
Cutout: 3 boxes with 33% size each
Bounding Box: Noise: Up to 10% of pixels