Extracting precise 3D object information is one of the prime goals for comprehensive scene understanding. However, labeling errors are common in present open-source 3D perception datasets, which could have impactful consequences. To tackle this issue, we used Carlafox to automatically generate an error-free synthetic dataset for 3D perception.

Source: LXer – Carlafox: Towards reliable open-source 3D perception