Dataset Versions
v4
2023-12-19 11:28pm
Generated on Dec 19, 2023
4375 Total Images
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Dataset Split
Train Set 87%
3828Images
Valid Set 8%
366Images
Test Set 4%
181Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Cutout: 10 boxes with 18% size each