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TwelveLabs has released Pegasus 1.6, a model designed to transform raw first-person video feeds into structured training data for robotic agents. This advancement directly addresses the critical need for high-quality, annotated datasets required to train vision-language-action models that can navigate real-world environments autonomously. By streamlining the conversion of unstructured visual input into actionable robot instructions, this tool lowers the barrier for developing sophisticated embodied AI systems.
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Source coveringVentureBeat
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.
TwelveLabs debuts Pegasus 1.6 to improve robotics training data from first-person video
VentureBeat1 min read
TwelveLabs debuts Pegasus 1.6 to improve robotics training data from first-person video VentureBeat
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