Dataset Versions
v5
2024-07-02 8:50am
Generated on Jul 2, 2024
1906 Total Images
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Dataset Split
Train Set 89%
1695Images
Valid Set 7%
141Images
Test Set 4%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 650x650
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
Shear: ±0° Horizontal, ±12° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 1.65% of pixels