Dataset Versions

v18

2023-11-06 9:11am

Generated on Nov 6, 2023

Dataset Split

Train Set 64%
92Images
Valid Set 36%
51Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 11 remapped, 27 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1px
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels

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