Dataset Versions
v1
2024-05-22 10:52pm
Generated on May 22, 2024
835 Total Images
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Dataset Split
Train Set 97%
807Images
Valid Set 2%
15Images
Test Set 2%
13Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Cutout: 3 boxes with 10% size each