Dataset Versions

v10

2024-06-02 6:46pm

Generated on Jun 2, 2024

Dataset Split

Train Set 85%
1079Images
Valid Set 9%
110Images
Test Set 6%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -10% and +10%

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