Dataset Versions
v2
2022-12-25 6:57pm
Generated on Dec 25, 2022
27 Total Images
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Dataset Split
Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 10% size each