Dataset Versions
v1
2022-07-05 2:59pm
Generated on Jul 5, 2022
5036 Total Images
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Dataset Split
Train Set 87%
4392Images
Valid Set 8%
404Images
Test Set 5%
240Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±9° Horizontal, ±6° Vertical
Grayscale: Apply to 6% of images
Saturation: Between -38% and +38%
Mosaic: Applied