Dataset Versions
v1
2024-04-23 6:02pm
Generated on Apr 23, 2024
4768 Total Images
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Dataset Split
Train Set 87%
4143Images
Valid Set 9%
431Images
Test Set 4%
194Images
Preprocessing
Filter Null: Require at least 65% of 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°
Brightness: Between -25% and +25%