Dataset Versions
v1
2024-08-06 6:38am
Generated on Aug 6, 2024
372 Total Images
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Dataset Split
Train Set 87%
324Images
Valid Set 9%
32Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Blur: Up to 2.5px