Dataset Versions
Versions
v1
2024-09-02 8:54pm
Generated on Sep 2, 2024
165 Total Images
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Dataset Split
Train Set 82%
135Images
Valid Set 14%
23Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
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
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels