v11

2025-05-19 10:19pm

Generated on May 19, 2025

Dataset Split

Train Set 93%
2514Images
Valid Set 5%
129Images
Test Set 3%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -13° and +13°
Saturation: Between -23% and +23%
Brightness: Between -11% and +11%
Blur: Up to 0.6px
Noise: Up to 1.05% of pixels

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