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Introducing Meta Segment Anything Model 2 (SAM 2) — the first unified model for real-time, promptable object segmentation in images & videos. SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experiences Details ➡️

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AI at Meta

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1,618,992 просмотров • 2 лет назад •via X (Twitter)

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Комментарии: 10

Фото профиля AI at Meta
AI at Meta2 лет назад

In addition to the new model, we’re also releasing SA-V, a dataset that’s 4.5x larger + has ~53x more annotations than the largest existing video segmentation dataset. We hope this work will help accelerate new computer vision research ➡️

Фото профиля AI at Meta
AI at Meta2 лет назад

Like the original SAM, SAM 2 can be applied out of the box to a diverse range of real-world use cases and we’re excited to see what developers build with it. Try the demo ➡️ Get the code ➡️

Фото профиля Mckay Wrigley
Mckay Wrigley2 лет назад

Legendary 7-day open source Meta run rn lfg

Фото профиля Lex Fridman
Lex Fridman2 лет назад

Wow, amazing!

Фото профиля Dwayne
Dwayne2 лет назад

Wow. Meta are cooking gourmet Michelin star meals over here.

Фото профиля rad ed
rad ed2 лет назад

inpainting is about to go crazy when its added to video with persistent object detection

Фото профиля Indra
Indra2 лет назад

I like it. It's gonna save video editors a lot of time creating masks and rotoscoping. It's not perfect, but it saves us from Adobe CCs proprietary, lock-in roto tools. Thanks zucc.

Фото профиля mansa musa 👑
mansa musa 👑2 лет назад

This is wild! Advertisers are going to pay subscriptions to keep their products in videos lmao

Фото профиля MindBranches
MindBranches2 лет назад

Summary of the Meta SAM 2 announcement

Фото профиля Amit Shukla
Amit Shukla2 лет назад

Just when I thought I'm done reading 99 pages, you show up with another book. Grateful for the Apache license.

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Segment Anything Model 2 (SAM 2) is a foundation model from Meta FAIR for promptable visual segmentation in images & videos. Available now for anyone to build on for free, open source under an Apache license. Try the demo ➡️
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