Dataset Versions
v6
2024-06-05 11:11am
Generated on Jun 5, 2024
485 Total Images
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Dataset Split
Train Set 87%
423Images
Valid Set 9%
42Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%