Dataset Versions
v2
2024-10-10 8:01am
Generated on Oct 10, 2024
54 Total Images
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Dataset Split
Train Set 89%
48Images
Valid Set 7%
4Images
Test Set 4%
2Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels