![FLUX.1 [dev] Medium shot. Mark Zuckerburg stands next to a llama in front of Facebook headquarters. Across the front of the image the word "Segment Anything" is written in neon lights. The background is corporate campus, people working on laptops, adding to the overall Silicon Valley atmosphere.](https://ethanbholland.com/wp-content/uploads/2024/09/meta-1.png)
FLUX.1 [dev] Medium shot. Mark Zuckerburg stands next to a llama in front of Facebook headquarters. Across the front of the image the word “Segment Anything” is written in neon lights. The background is corporate campus, people working on laptops, adding to the overall Silicon Valley atmosphere.
“Zuckerberg says Meta will need 10x more computing power to train Llama 4 than Llama 3
Zuckerberg says Meta will need 10x more computing power to train Llama 4 than Llama 3 | TechCrunch
“Memory Attention: adding object permanence with $50k in compute @AIatMeta continues to lead Actually Open AI. SAM2 generalizes SAM1 from image segmentation to video, releasing task, model, and dataset as Apache 2/CC by 4.0! Notable aspects from reading the paper: – shockingly
“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 ➡️
“SAMv2 is just mindblowingly good 😍 Learn what makes this model so good at video segmentation, keep reading 🦆⇓
“Huge news. Meta just released Segment Anything 2, the most powerful video and image segmentation model. SAM 2 demonstrates significant performance improvements: ▸ Operates at 44 frames per second for video segmentation. ▸ Requires three times fewer interactions for video
Our New AI Model Can Segment Anything – Even Video | Meta
Introducing SAM 2: The next generation of Meta Segment Anything Model for videos and images
“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 ➡️
“Along with the Meta Segment Anything Model 2 (SAM 2), we also released SA-V: a dataset containing ~51K videos and >600K masklet annotations. We’re sharing this dataset with the hope that this work will help accelerate new computer vision research ➡️
“Meta coming in hot with SAM 2 Segment Anything Model (SAM) lets you do real-time promptable image and video segmentation it can do things like track objects to create video effects (left) or segment moving cells in videos captured from a microscope (right) link below
“Meta just released SAM 2, a new version of its video and image segmentation model. They also released a dataset of approximately 51K videos and 600K masklets (spatio-temporal masks) The code and weights are available under the Apache 2.0 license.” / X
“Meta introduced Segment Anything Model 2 (SAM 2) It’s an advanced AI model that can identify and track objects across video frames in real time. Editing tasks like object removal or replacement are going to be as simple as a single click shortly
“The new AI segment tool from Meta is pretty nifty. One click to select objects in moving scenes. Everything here is me playing with this real time.
SAM 2 Demo | By Meta FAIRhttps://sam2.metademolab.com/
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