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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!

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AI at Meta

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81,287 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Arunachalam B
Arunachalam B1 год назад

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!

Фото профиля Rainmaker
Rainmaker2 лет назад

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%.

Фото профиля Reji Modiyil
Reji Modiyil1 год назад

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

Фото профиля -T3ch-
-T3ch-1 год назад

is this built on meta perception?

Фото профиля Casey Ash
Casey Ash1 год назад

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

Фото профиля Melina Flow
Melina Flow1 год назад

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

Фото профиля Faruk Guney
Faruk Guney1 год назад

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

Фото профиля Alejandro Toro
Alejandro Toro1 год назад

Pretty awesome. I have to check it out

Фото профиля TrainLabsAI
TrainLabsAI1 год назад

THE TRAIN also helps, but it helps humans

Фото профиля o-mega.ai
o-mega.ai1 год назад

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.

Фото профиля DeBarra Shaw
DeBarra Shaw1 год назад

Nice.

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