Dataset Versions
v3
2024-06-23 6:59pm
Generated on Jun 23, 2024
1200 Total Images
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Dataset Split
Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between -20% and +20%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 0.5% of pixels