Dataset Versions
Versions
v1
2023-03-01 2:32am
Generated on Mar 1, 2023
4458 Total Images
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Dataset Split
Train Set 82%
3669Images
Valid Set 9%
406Images
Test Set 9%
383Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 22% of images
Hue: Between -86° and +86°
Saturation: Between -83% and +83%
Brightness: Between -41% and +41%
Exposure: Between -45% and +45%
Blur: Up to 2px
Noise: Up to 5% of pixels