Cuy project Dataset

v6

2023-06-26 1:53am

Generated on Jun 26, 2023

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Dataset Split

Train Set 85%
501Images
Valid Set 9%
55Images
Test Set 6%
33Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 15-83% Horizontal Region, 15-88% Vertical Region
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 30% of images
Hue: Between -48° and +48°
Brightness: Between -29% and +29%
Exposure: Between -40% and +40%
Blur: Up to 2px
Noise: Up to 2% of pixels