Dataset Versions
v2
2022-08-19 5:31pm
Generated on Aug 19, 2022
6978 Total Images
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Dataset Split
Train Set 87%
6105Images
Valid Set 8%
581Images
Test Set 4%
292Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 7 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each