Dataset Versions
v2
2024-09-02 3:17pm
Generated on Sep 2, 2024
420 Total Images
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Dataset Split
Train Set 89%
372Images
Valid Set 7%
28Images
Test Set 5%
20Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Noise: Up to 0.1% of pixels