Dataset Versions
Versions
v16
SLC
Generated on Oct 28, 2023
8982 Total Images
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Dataset Split
Train Set 100%
8982Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±6° Vertical
Saturation: Between -60% and +60%
Brightness: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Cutout: 1 boxes with 9% size each
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±6° Horizontal, ±6° Vertical