Dataset Versions

v14

2023-10-10 11:13pm

Generated on Oct 11, 2023

Dataset Split

Train Set 88%
495Images
Valid Set 9%
50Images
Test Set 3%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -52% and +52%
Brightness: Between -25% and +25%
Blur: Up to 1px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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