Dataset Versions
Versions
v1
2024-02-19 4:55pm
Generated on Feb 19, 2024
318 Total Images
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Dataset Split
Train Set 92%
294Images
Valid Set 4%
12Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
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 -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2% of pixels