Dataset Versions

v9

Data_Aug_Ver2

Generated on Nov 20, 2022

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Dataset Split

Train Set 82%
924Images
Valid Set 15%
166Images
Test Set 3%
38Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Shear: ±15° Horizontal, ±12° Vertical
Hue: Between -55° and +55°
Saturation: Between -40% and +40%
Brightness: Between 0% and +44%
Exposure: Between -23% and +23%
Blur: Up to 3px
Noise: Up to 8% of pixels

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