Dataset Versions

v1

2023-06-10 10:26am

Generated on Jun 10, 2023

Dataset Split

Train Set 88%
2085Images
Valid Set 8%
197Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 41-63% Horizontal Region, 38-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -22° and +22°
Brightness: Between -22% and +22%
Blur: Up to 1px
Noise: Up to 2% of pixels

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