Dataset Versions
v2
2024-11-20 12:50am
Generated on Nov 20, 2024
1999 Total Images
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Dataset Split
Train Set 95%
1892Images
Valid Set 3%
52Images
Test Set 3%
55Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
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 -29° and +29°