Dataset Versions
v2
2024-02-24 9:06am
Generated on Feb 24, 2024
794 Total Images
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Dataset Split
Train Set 93%
735Images
Valid Set 3%
23Images
Test Set 5%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 244x244
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 7% of images
Hue: Between -22° and +22°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 0.8px