AutoVDC framework applies VLMs to detect erroneous annotations in KITTI and nuImages datasets for autonomous driving, showing high error detection rates on variants with injected mistakes.
A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook,
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AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models
AutoVDC framework applies VLMs to detect erroneous annotations in KITTI and nuImages datasets for autonomous driving, showing high error detection rates on variants with injected mistakes.