Dataset Versions
v2
ver 1.2 - 2024-01-16 11-52am
Generated on Jan 16, 2024
349 Total Images
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Dataset Split
Train Set 83%
288Images
Valid Set 12%
41Images
Test Set 6%
20Images
Preprocessing
Resize: Stretch to 225x225
Grayscale: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px