Dataset Versions
v7
2024-01-25 4:53pm
Generated on Jan 25, 2024
565 Total Images
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Dataset Split
Train Set 88%
495Images
Valid Set 8%
46Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Noise: Up to 0.4% of pixels