Dataset Versions

v11

2024-10-15 4:32am

Generated on Oct 15, 2024

Dataset Split

Train Set 95%
7780Images
Valid Set 4%
340Images
Test Set 1%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 760x1280
Modify Classes: 120 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -8% and +8%
Exposure: Between -7% and +7%
Blur: Up to 0.6px

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