Dataset Versions
v2
2022-07-03 9:38pm
Generated on Jul 4, 2022
3440 Total Images
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Dataset Split
Train Set 85%
2916Images
Valid Set 6%
204Images
Test Set 9%
320Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 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, 25% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±15° Horizontal, ±17° Vertical
Grayscale: Apply to 2% of images
Mosaic: Applied