Dataset Versions

v4

2023-07-04 10:12am

Generated on Jul 4, 2023

Dataset Split

Train Set 87%
1161Images
Valid Set 7%
99Images
Test Set 6%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.5px

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