Dataset Versions
v9
2023-09-21 12:31pm
Generated on Sep 21, 2023
5320 Total Images
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Dataset Split
Train Set 100%
5320Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 4 remapped, 1 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Hue: Between -15° and +15°
Saturation: Between -29% and +29%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 10% size each