lblfndr Dataset
v2
realdataset2
Generated on Aug 8, 2024
2125 Total Images
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Dataset Split
Train Set 87%
1851Images
Valid Set 6%
138Images
Test Set 6%
136Images
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: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 0.6px