[R] Automated Quality Assurance for Object Detection Datasets

Would you deploy a self-driving car model that was trained on images for which data annotators accidentally **forgot** to highlight some pedestrians?

[Errors in object detection examples found via cleanlab.](https://preview.redd.it/ztta81vqgmqb1.png?width=960&format=png&auto=webp&s=74577c9938ce98e885b438c16b214e1a3e1425af)

Annotators of real-world object detection datasets often make such errors and many other mistakes. To avoid training models on erroneous data and save QA teams significant time, you can now use automated algorithms invented by our scientists.

Our newest [paper](https://arxiv.org/abs/2309.00832) introduces **Cleanlab Object Detection**: a novel algorithm to assess label …

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