Dataset Versions
v2
2024-08-07 7:05am
Generated on Aug 7, 2024
4169 Total Images
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Dataset Split
Train Set 84%
3513Images
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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px