Dataset Versions
Versions
v1
2024-03-17 12:14am
Generated on Mar 16, 2024
10170 Total Images
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Dataset Split
Train Set 79%
8052Images
Valid Set 14%
1417Images
Test Set 7%
701Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels
Cutout: 3 boxes with 10% size each