Dataset Versions
v2
2023-09-29 4:21pm
Generated on Sep 29, 2023
741 Total Images
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Dataset Split
Train Set 82%
606Images
Valid Set 14%
101Images
Test Set 5%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each