Dataset Versions
Versions
v1
2024-05-02 12:51pm
Generated on May 2, 2024
326 Total Images
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Dataset Split
Train Set 87%
285Images
Valid Set 8%
27Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -15% and +15%
Noise: Up to 1.45% of pixels