Dataset Versions
v3
2022-10-21 9:05pm
Generated on Oct 21, 2022
49 Total Images
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Dataset Split
Train Set 86%
42Images
Valid Set 8%
4Images
Test Set 6%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 448x448
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
Saturation: Between -25% and +25%