Dataset Versions
v7
2023-10-23 9:13am
Generated on Oct 23, 2023
17453 Total Images
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Dataset Split
Train Set 82%
14379Images
Valid Set 12%
2062Images
Test Set 6%
1012Images
Preprocessing
Resize: Fit (black edges) in 800x600
Tile: 2 rows x 2 columns
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require at least 79% of images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal
Rotation: Between -7° and +7°
Brightness: Between -42% and +42%
Blur: Up to 1.75px
Noise: Up to 5% of pixels