Dataset Versions
v1
2024-08-04 8:08am
Generated on Aug 4, 2024
3992 Total Images
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Dataset Split
Train Set 84%
3336Images
Valid Set 11%
452Images
Test Set 5%
204Images
Preprocessing
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px