lblfndr Dataset
v3
2024-08-09 10:49am
Generated on Aug 9, 2024
2518 Total Images
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Dataset Split
Train Set 88%
2223Images
Valid Set 8%
192Images
Test Set 4%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -28% and +28%
Exposure: Between -8% and +8%
Blur: Up to 0.6px