v5

2024-08-31 12:32am

Generated on Aug 31, 2024

Dataset Split

Train Set 89%
5310Images
Valid Set 5%
320Images
Test Set 5%
304Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -14% and +14%
Exposure: Between -3% and +3%
Bounding Box: Noise: Up to 0.02% of pixels

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