Dataset Versions
v1
2024-11-09 6:30pm
Generated on Nov 9, 2024
274 Total Images
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Dataset Split
Train Set 88%
240Images
Valid Set 8%
23Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels