Dataset Versions
v4
2023-03-30 8:13pm
Generated on Mar 30, 2023
705 Total Images
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Dataset Split
Train Set 25%
177Images
Valid Set 67%
470Images
Test Set 8%
58Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between -53% and +53%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels