Dataset Versions

v1

2024-07-01 3:44pm

Generated on Jul 1, 2024

Dataset Split

Train Set 88%
17850Images
Valid Set 8%
1700Images
Test Set 4%
850Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%

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