Dataset Versions
v2
2022-08-13 2:45pm
Generated on Aug 13, 2022
260 Total Images
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Dataset Split
Train Set 92%
240Images
Valid Set 4%
10Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 27-100% Horizontal Region, 0-65% Vertical Region
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Shear: ±17° Horizontal, ±18° Vertical
Exposure: Between -28% and +28%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied