Dataset Versions

v1

2023-05-10 1:51am

Generated on May 9, 2023

Dataset Split

Train Set 88%
4029Images
Valid Set 7%
338Images
Test Set 5%
208Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images

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