Dataset Versions
v2
2023-03-26 2:01pm
Generated on Mar 26, 2023
1965 Total Images
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Dataset Split
Train Set 87%
1719Images
Valid Set 8%
161Images
Test Set 4%
85Images
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 -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