Dataset Versions
Versions
v1
2024-06-05 5:42pm
Generated on Jun 5, 2024
103 Total Images
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Dataset Split
Train Set 87%
90Images
Valid Set 9%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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, 20% Maximum Zoom
Rotation: Between -15° and +15°