Dataset Versions
v8
2024-03-28 10:47pm
Generated on Mar 29, 2024
6052 Total Images
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Dataset Split
Train Set 87%
5254Images
Valid Set 9%
546Images
Test Set 4%
252Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Brightness: Between -20% and +20%
Blur: Up to 3.5px
Cutout: 5 boxes with 15% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels