Dataset Versions

v2

2022-11-30 12:15am

Generated on Nov 29, 2022

Dataset Split

Train Set 95%
999Images
Valid Set 3%
35Images
Test Set 2%
21Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±21° Horizontal, ±21° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -39% and +39%
Noise: Up to 7% of pixels

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