Dataset Versions
v6
2024-05-16 8:20pm
Generated on May 16, 2024
28 Total Images
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Dataset Split
Train Set 86%
24Images
Valid Set 11%
3Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%