Argus: open-source robotics data annotation pipeline built on GPT-6 Astra
Argus is an open-source project that uses frontier vision models like Astra to generate timestamp-level annotations and flag issues such as mislabeled instructions, sped-up recordings, and swapped camera streams.
Argus: an open-source robotics data annotation and quality pipeline. With new frontier VLMs like GPT-6 Astra, we can generate rich, high-quality annotations for robotics data for both training and dataset analysis. Argus delivers detailed, timestamp-level annotations while catching issues like mislabeled instructions, sped-up recordings, swapped camera streams, and unflagged operator mistakes. To support better data quality for the robotics community, we’re open-sourcing Argus for anyone to use 🧵