Segment Anything Model (SAM): a new AI model from Meta AI that can "cut out" any object, in any image, with a single click SAM is a promptable segmentation system with zero-shot …

SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video. Using SAM …

2024年7月29日 · 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 …

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 …

The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has …

2024年7月29日 · Today we’re introducing the Segment Anything Model 2 (SAM 2), the first unified model that can identify which pixels belong to a target object in an image or video. SAM 2 can …

2024年12月1日 · SAM 2.1（全称Segment Anything Model 2.1）是Meta推出的先进视觉分割模型，专为图像和视频处理设计。 该模型基于简单的Transformer架构和流式记忆设计，实现了实 …

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 …

SAM 2 is a segmentation model that enables fast, precise selection of any object in any video or image.

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 …