Dataset Versions
Versions
v1
2023-06-07 4:43pm
Generated on Jun 7, 2023
7520 Total Images
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Dataset Split
Train Set 85%
6378Images
Valid Set 9%
653Images
Test Set 7%
489Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -4° and +4°
Grayscale: Apply to 6% of images
Saturation: Between -11% and +11%
Brightness: Between -14% and +14%
Exposure: Between -5% and +5%
Blur: Up to 2px
Noise: Up to 2% of pixels