Dataset Versions
v5
Listerinev5
Generated on Jul 26, 2023
8775 Total Images
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Dataset Split
Train Set 87%
7677Images
Valid Set 8%
723Images
Test Set 4%
375Images
Preprocessing
Auto-Orient: Applied
Static Crop: 30-94% Horizontal Region, 17-69% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -34° and +34°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 1% of pixels