Dataset Versions

v5

Good-AUG

Generated on Apr 7, 2024

Dataset Split

Train Set 90%
14600Images
Valid Set 7%
1195Images
Test Set 3%
508Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Blur: Up to 2.5px

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