Dataset Versions

v1

classifierB

Generated on Mar 2, 2024

Dataset Split

Train Set 90%
10278Images
Valid Set 7%
782Images
Test Set 3%
366Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px

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