Dataset Versions
v9
5
Generated on May 25, 2023
2367 Total Images
View All ImagesDataset Split
Train Set 97%
2298Images
Valid Set 2%
49Images
Test Set 1%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 0 remapped, 0 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
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Blur: Up to 2.5px