Dataset Versions

v1

2024-01-21 8:00pm

Generated on Jan 21, 2024

Dataset Split

Train Set 88%
498Images
Valid Set 8%
47Images
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 -2% and +2%
Noise: Up to 0.3% of pixels

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