Dataset Versions
v2
2024-06-02 4:43pm
Generated on Jun 2, 2024
238 Total Images
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Dataset Split
Train Set 92%
219Images
Valid Set 5%
11Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.96% of pixels