Dataset Versions

v6

2024-09-06 6:22am

Generated on Sep 6, 2024

Dataset Split

Train Set 88%
537Images
Valid Set 8%
50Images
Test Set 3%
21Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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