Meta Segment Anything Model 2 - AI at Meta
SAM 2 brings state-of-the-art video and image segmentation capabilities into a single model, while preserving a simple design and fast inference speed. The SAM 2 model extends the promptable capability of SAM to the video domain by adding a per session memory module that captures information about the target object in the video.
SAM 2: Segment Anything in Images and Videos - GitHub
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Introducing SAM 2: The next generation of Meta Segment Anything Model ...
2024年7月29日 · The Meta Segment Anything Model (SAM) released last year introduced a foundation model for this task on images. Our latest model, SAM 2, is the first unified model for real-time, promptable object segmentation in images and videos, enabling a step-change in the video segmentation experience and seamless use across image and video applications.
[2408.00714] SAM 2: Segment Anything in Images and Videos
2024年8月1日 · We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect the largest video segmentation dataset to …
SAM 2: Getting Started With Meta's Segment Anything Model 2
2024年8月28日 · SAM 2 (Segment Anything Model 2) is Meta AI's latest advancement in computer vision technology. It builds upon the foundation laid by the original SAM, offering improved capabilities for image and video segmentation. Essentially, SAM 2 can generate precise segmentation masks, which identify and separate objects within an image or video.
Segment Anything | Meta AI
SAM is designed to be efficient enough to power its data engine. We decoupled the model into 1) a one-time image encoder and 2) a lightweight mask decoder that can run in a web-browser in just a few milliseconds per prompt. What type of prompts are supported? What is the structure of the model? What platforms does the model use?
GitHub - facebookresearch/segment-anything: The repository …
Segment Anything Model 2 (SAM 2) is a foundation model towards solving promptable visual segmentation in images and videos. We extend SAM to video by considering images as a video with a single frame. The model design is a simple transformer architecture with streaming memory for real-time video processing.
Meta SAM 2 登场：首个能在图片和视频中实时分割对象的统一开 …
2024年7月30日 · Meta 公司今天发布新闻稿，介绍了全新的 Meta Segment Anything Model 2（SAM 2）模型，先支持分割视频和图像中的对象。 开源 Meta 公司宣布将以 Apache 2.0 许可发布 SAM 2，因此任何人都可以使用它来构建自己的体验。
SAM 2: Segment Anything in Images and Videos - AI at Meta
2024年7月29日 · We present Segment Anything Model 2 (SAM 2 ), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect the largest video segmentation dataset to …
SAM 2 — The next generation of Meta's Segment Anything Model …
2024年8月4日 · Meta has released SAM 2, an advanced foundation model for promptable visual segmentation in both images and videos. This article provides an in-depth look at SAM 2’s capabilities, architecture, and performance, as well as the new SA-V dataset used to train it.
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