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uva

Instance Segmentation

uva Image Dataset

Versions
2024-05-10 2:00am
v1
May 10, 2024
v1

2024-05-10 2:00am

Generated on May 10, 2024
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3100 Total Images

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Dataset Split

Train Set 82%
2532Images
Valid Set 9%
284Images
Test Set 9%
284Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%