Dataset Versions

v1

2022-12-03 10:40pm

Generated on Dec 3, 2022

Dataset Split

Train Set 69%
423Images
Valid Set 19%
117Images
Test Set 12%
72Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Crop: 0% Minimum Zoom, 20% Maximum Zoom

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