Dataset Versions
v1
2023-04-07 10:46am
Generated on Apr 7, 2023
390 Total Images
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Dataset Split
Train Set 92%
360Images
Valid Set 4%
15Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels