Dataset Versions

v5

2024-01-04 6:55pm

Generated on Jan 4, 2024

Dataset Split

Train Set 62%
5773Images
Valid Set 21%
1956Images
Test Set 16%
1519Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 14 remapped, 33 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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