在YOLO、Segment Anything(Sam+ SAM 2/2.1+ SAM 3)、ALESAM 3的AI支持下,轻松实现AI辅助数据标签!
segment-anything-2 开源项目推荐(28 个)
segment-anything-2 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 28 个仓库带Sam(segment anything models)的标签工具,支持Sam、Sam2、Sam3、sam-hq、Mobile Sam EdgeSam等。交互式半自动图像标记工具
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
SSSegmentation:一个基于 PyTorch 的开源有监督语义分割工具箱。
SimpleAICV:pytorch 训练示例。
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
CPU compatible fork of the official SAMv2 implementation aimed at more accessible and documented tutorials
Playground Web UI using segment-anything-2 models from the Meta.
This repository contains code for deploying a Gradio application using the SAM2 model for video processing. The application allows users to interact with the model through a user-friendly web interface.
This is an official implementation for "SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection" - Medical Image Analysis (Major Revision)
SAM2 Track implementation with TensorRT & OnnxRuntime
A gradio based webui for meta segment-anything-model 2 (SAM2), both image and video are supported
(SegmentedOWLv2) is a powerful command-line tool for text-prompted object segmentation for video and images.
This is a python based standalone image annotation tool designed for tasks such as image segmentation and object detection. The tool allows users to draw bounding boxes, polygons, and freehand paths, edit and manage annotations, and export the annotated data in multiple formats including COCO, YOLO, and PASCAL VOC.
Code for "CataractSAM-2: Enhancing Transferability and Real-Time Ophthalmic Surgery Segmentation Through Automated Ground-Truth Generation"
Use natural language to ground relevant things.
Video Vehicle Segmentation project made with META's Segment Anything Model 2 (SAM2)
Colaboratory上でSAM2をお試しするサンプル
Click once, track the object through video: EdgeTAM and SAM 2.1 tiny in Rust on ONNX Runtime's CUDA provider. ~42 ms a frame, mean mask IoU 0.97–0.998 vs PyTorch, no Python at run time. Windows and Linux.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/segment-anything-2。
- 该话题在 GitHub 上共有 28 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 8713 Star,覆盖 4 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。