Dataset Versions
v4
2024-06-24 6:29pm
Generated on Jun 24, 2024
10136 Total Images
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Dataset Split
Train Set 90%
9165Images
Valid Set 7%
686Images
Test Set 3%
285Images
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 -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.53% of pixels