Dataset Versions
v3
2024-12-04 8:12pm
Generated on Dec 4, 2024
2520 Total Images
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Dataset Split
Train Set 88%
2208Images
Valid Set 8%
212Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -12% and +12%
Blur: Up to 2.5px
Cutout: 11 boxes with 8% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down