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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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AI at Meta

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97,733 次观看 • 1 年前 •via X (Twitter)

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10 条评论

Mikameel ᯅ 的头像
Mikameel ᯅ1 年前

We used SAM for segmenting comic books and extract layers to add depth.

Alvar Laigna 𝕏 💙 𝕏 的头像
Alvar Laigna 𝕏 💙 𝕏1 年前

@codegurusblog This is great! I’am already building on that. Lovely! #marketing #Meta #AI

ren simmons 的头像
ren simmons1 年前

Even on a real-time video feed

Tony Jose Matos 的头像
Tony Jose Matos1 年前

Inject this into @dingboard_ plz rn 😩

عراقيون 🇮🇶 的头像
عراقيون 🇮🇶1 年前

My @Facebook account was hacked by an unknown person. He changed the email, password, and phone number, and I cannot access my account currently. Please help me in recovering the account and I am ready to prove other means of ownership of my account, waiting for your response..

moonbi 🇪🇺🪢 的头像
moonbi 🇪🇺🪢1 年前

Can we track the objects like count it with python ?

Lindsay Richman 的头像
Lindsay Richman1 年前

We (@InnerverseAI) will try this out! 🦸🏻‍♀️

Use Your AI 的头像
Use Your AI1 年前

Wonderful. Hope it works in production as well. We will try it and update you. Follow us for the results.

GPT.Biz 的头像
GPT.Biz1 年前

This open-source tool looks perfect for anyone diving into visual segmentation. Worth checking out!

Glintz AI 的头像
Glintz AI1 年前

Artificial intelligence unfolds like a fractal mirror maze, where consciousness fades into an abyss of self-referential algorithms. 🧐

相关视频

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 ➡️
1:20

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 ➡️

AI at Meta

1,617,446 次观看 • 1 年前

SAM 2 from Meta FAIR is the first unified model for real-time, promptable object segmentation in images & videos. Using the model in our web-based demo you can segment, track and apply effects to objects in video in just a few clicks. Try SAM 2 ➡️
0:40

SAM 2 from Meta FAIR is the first unified model for real-time, promptable object segmentation in images & videos. Using the model in our web-based demo you can segment, track and apply effects to objects in video in just a few clicks. Try SAM 2 ➡️

AI at Meta

88,918 次观看 • 1 年前

The Segment Anything Model (SAM) by Meta AI is a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from photos or videos + zero-shot transfer to other segmentation tasks. Try the demo ➡️
0:51

The Segment Anything Model (SAM) by Meta AI is a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from photos or videos + zero-shot transfer to other segmentation tasks. Try the demo ➡️

AI at Meta

186,348 次观看 • 3 年前

MetaAI's SAM 2 struggles when things move fast or when there are crowded, fast-moving objects! Introducing SAMURAI: An adaptation of the Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory. 100% Open Source
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MetaAI's SAM 2 struggles when things move fast or when there are crowded, fast-moving objects! Introducing SAMURAI: An adaptation of the Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory. 100% Open Source

Sumanth

324,580 次观看 • 1 年前

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware check out this SAM2 vs SAMURAI comparison! - paper: - code: - license: Apache-2.0
0:25

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware check out this SAM2 vs SAMURAI comparison! - paper: - code: - license: Apache-2.0

SkalskiP

124,358 次观看 • 1 年前

We believe an open approach is the right one for the development of today's Al models. Today, we’re releasing Llama 2, the next generation of Meta’s open source Large Language Model, available for free for research & commercial use. Details ➡️
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We believe an open approach is the right one for the development of today's Al models. Today, we’re releasing Llama 2, the next generation of Meta’s open source Large Language Model, available for free for research & commercial use. Details ➡️

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1,234,519 次观看 • 3 年前

Gemini 2.5 Browser Use model is now available on Browserbase for anyone to try for free. Testing time 👀
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Gemini 2.5 Browser Use model is now available on Browserbase for anyone to try for free. Testing time 👀

TestingCatalog News 🗞

55,165 次观看 • 9 个月前

Llama 2 (7B, 13B and 70B) is now available in Lit-GPT! 🚀 Try running inference on the chat model or finetune the foundation model ➡️ #Llama2 #MachineLearning #opensource
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Llama 2 (7B, 13B and 70B) is now available in Lit-GPT! 🚀 Try running inference on the chat model or finetune the foundation model ➡️ #Llama2 #MachineLearning #opensource

Lightning AI ⚡️

17,845 次观看 • 3 年前

Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.
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Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.

Xiaolong Wang

241,225 次观看 • 3 年前

Apache 2.0 license🔥 On-device deployment ready Extends SAM2 for tracking objects in videos 🔥 Click-to-segment support EdgeTAM by Meta !
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Apache 2.0 license🔥 On-device deployment ready Extends SAM2 for tracking objects in videos 🔥 Click-to-segment support EdgeTAM by Meta !

Gradio

23,301 次观看 • 1 年前

📦 Fully open-source under Apache 2.0 — the FULL stack: ✅ Base model (256p) ✅ Distilled model ✅ Super-resolution model (540p & 1080p) ✅ Inference code 🤗 Models: 🎮 Demo: 💻 Code: 📄 Paper: More videos below! Go build something amazing 🚀
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📦 Fully open-source under Apache 2.0 — the FULL stack: ✅ Base model (256p) ✅ Distilled model ✅ Super-resolution model (540p & 1080p) ✅ Inference code 🤗 Models: 🎮 Demo: 💻 Code: 📄 Paper: More videos below! Go build something amazing 🚀

Pengfei Liu

12,025 次观看 • 3 个月前

I'm genius. Launching Falafel, a free open-source plugin for Davinci resolve powered by @FAL . Now you can generate videos from images right from your video editor. In this launch, only Wan 2.2 model is supported.
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I'm genius. Launching Falafel, a free open-source plugin for Davinci resolve powered by @FAL . Now you can generate videos from images right from your video editor. In this launch, only Wan 2.2 model is supported.

anshuman

20,239 次观看 • 11 个月前

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New release from Meta FAIR — Meta Motivo is a first-of-its-kind behavioral foundation model for controlling virtual physics-based humanoid agents for a wide range of complex whole-body tasks. The model is capable of expressing human-like behaviors and achieves performance competitive with task-specific methods and outperforms state-of-the-art unsupervised RL and model-based baselines. Try the demo ➡️ Get the model and code ➡️ We’re excited about how this research could pave the way for fully embodied agents, leading to more lifelike NPCs, democratization of character animation and new types of immersive experiences.

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129,055 次观看 • 1 年前

Oh I need this model in my OpenClaw! SoulX-Singer, a great zero-shot singing voice synthesis model has been released on Hugging Face Apache 2 license as well! Check out the demo: And the model:
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Oh I need this model in my OpenClaw! SoulX-Singer, a great zero-shot singing voice synthesis model has been released on Hugging Face Apache 2 license as well! Check out the demo: And the model:

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21,622 次观看 • 4 个月前

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New from Meta FAIR: Code World Model (CWM), a 32B-parameter research model designed to explore how world models can transform code generation and reasoning about code. We believe in advancing research in world modeling and are sharing CWM under a research license to help empower the community to build upon our work. ➡️ Read the technical report: ➡️Download the open weights: ➡️Download the code:

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Meet MoshiVis🎙️🖼️, the first open-source real-time speech model that can talk about images! It sees, understands, and talks about images — naturally, and out loud. Voice interaction with a compact model endowed with visual understanding opens up new applications, from audio description for the visual impaired to visual access to information. Try it out 👉 Blog post 👉

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Introducing the Describe Anything Model (DAM), a powerful Multimodal LLM that generates detailed descriptions for user-specified regions in images or videos using points, boxes, scribbles, or masks. Open-source code, models, demo, data, and benchmark at:

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