Dataset Versions

v2

2023-04-17 1:13am

Generated on Apr 16, 2023

Dataset Split

Train Set 88%
3888Images
Valid Set 8%
334Images
Test Set 5%
201Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -23° and +23°
Shear: ±23° Horizontal, ±23° Vertical
Grayscale: Apply to 50% of images
Hue: Between -91° and +91°

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