Dataset Versions

v23

2024-10-24 4:44am

Generated on Oct 24, 2024

Dataset Split

Train Set 96%
68901Images
Valid Set 2%
1600Images
Test Set 1%
1000Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1000x1000
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Applied
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 0.65% of pixels

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