Dataset Versions
v1
2022-08-22 5:35pm
Generated on Aug 22, 2022
6068 Total Images
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Dataset Split
Train Set 86%
5196Images
Valid Set 10%
608Images
Test Set 4%
264Images
Preprocessing
Auto-Orient: Applied
Static Crop: 7-87% Horizontal Region, 1-93% Vertical Region
Resize: Stretch to 400x500
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Blur: Up to 1.5px