Dataset Versions
v61
2025-01-03 1:15pm
Generated on Jan 3, 2025
711 Total Images
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Dataset Split
Train Set 92%
657Images
Valid Set 4%
28Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 960x960
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 0.5% of pixels