Dataset Versions

v6

2023-06-30 3:33pm

Generated on Jun 30, 2023

Dataset Split

Train Set 89%
558Images
Valid Set 8%
48Images
Test Set 3%
18Images

Preprocessing

Resize: Stretch to 224x224
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 51% Maximum Zoom
Rotation: Between -29° and +29°
Shear: ±5° Horizontal, ±9° Vertical
Brightness: Between -34% and +34%
Exposure: Between -21% and +21%
Blur: Up to 2px
Noise: Up to 5% of pixels

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