Dataset Versions
v1
2022-06-12 9:11am
Generated on Jun 12, 2022
3348 Total Images
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Dataset Split
Train Set 88%
2931Images
Valid Set 8%
279Images
Test Set 4%
138Images
Preprocessing
Auto-Orient: Applied
Static Crop: 31-91% Horizontal Region, 13-75% Vertical Region
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -139° and +139°
Saturation: Between -81% and +81%
Exposure: Between -25% and +25%
Blur: Up to 3.25px
Mosaic: Applied