Dataset Versions
v1
2023-12-19 4:17pm
Generated on Dec 19, 2023
3320 Total Images
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Dataset Split
Train Set 90%
2988Images
Valid Set 7%
237Images
Test Set 3%
95Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x768
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 1px
Cutout: 6 boxes with 10% size each
Mosaic: Applied