Dataset Versions

v2

2024-06-22 7:00am

Generated on Jun 22, 2024

Dataset Split

Train Set 87%
46Images
Valid Set 9%
5Images
Test Set 4%
2Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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