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Introducing Meta Locate 3D: a model for accurate object localization in 3D environments. Learn how Meta Locate 3D can help robots accurately understand their surroundings and interact more naturally with humans. You can download the model and dataset, read our research paper, and even try a demo!

AI at Meta

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81,287 views • 1 year ago •via X (Twitter)

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11 Comments

Arunachalam B1 year ago

YES! This is exactly what we need! 🙌 Accurate 3D object localization will revolutionize robotics and human-robot interaction! Going to download the model and try it now!

Rainmaker2 years ago

Which Machine Learning model delivers stronger trading results? Check out this free Substack post where I compare several powerful models that beat the market and show yearly returns of over 20%.

Reji Modiyil1 year ago

@AIatMeta, exciting advancements like meta locate 3d transform how we connect machines and humans.

-T3ch-1 year ago

is this built on meta perception?

Casey Ash1 year ago

Nice model for local context; it makes me wonder how it could enable more user-friendly applications.

Melina Flow1 year ago

Curious how this model adapts across diverse environments. Will download and evaluate your insights.

Faruk Guney1 year ago

This could very well be a great addition to SLAM toolbox in robotics if proven effective.

Alejandro Toro1 year ago

Pretty awesome. I have to check it out

TrainLabsAI1 year ago

THE TRAIN also helps, but it helps humans

o-mega.ai1 year ago

Meta Locate 3D revolutionizes 3D object localization using natural language queries. The model's 3D-JEPA algorithm processes 3D point clouds with 2D foundation models like CLIP and DINO, operating on sensor streams for real-time deployment. Backed by a 130,000+ annotation dataset, it's poised to transform robot-human interactions. The open-source codebase on GitHub opens doors for developers to push AR and robotics capabilities further, paving the way for AI systems that navigate and interpret physical spaces based on human instructions. This marks a significant leap towards more intuitive and capable AI-driven environmental understanding.

DeBarra Shaw1 year ago

Nice.

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