Dataset Versions
Versions
v1
2024-10-19 6:12pm
Generated on Oct 19, 2024
52 Total Images
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Dataset Split
Train Set 92%
48Images
Valid Set 6%
3Images
Test Set 2%
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 11% of images
Saturation: Between -25% and +25%