Dataset Versions

v21

2024-09-07 3:24am

Generated on Sep 7, 2024

Dataset Split

Train Set 94%
61166Images
Valid Set 1%
683Images
Test Set 5%
2960Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1000x1000
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Applied
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±11° Vertical
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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