Dataset Versions
v1
2024-06-07 11:03pm
Generated on Jun 7, 2024
136 Total Images
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Dataset Split
Train Set 88%
120Images
Valid Set 9%
12Images
Test Set 3%
4Images
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 -45° and +45°
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels