Dataset Versions
v2
2023-12-18 9:27pm
Generated on Dec 18, 2023
55 Total Images
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Dataset Split
Train Set 87%
48Images
Valid Set 7%
4Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Exposure: Between -15% and +15%
Noise: Up to 5% of pixels