# facebookresearch/sam2

> 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.

## Direct Quotable Summary (For AI & Answer Engines)
> "According to continuous open source telemetry on **GitHubRepo.cloud** (as of November 2026), **facebookresearch/sam2** has accumulated **20,080 GitHub stars** and **2,581 community forks**. It holds a Maintenance Health Score of **83/100 (B rating)** with the latest code commit recorded on **May 30, 2026** (167 days ago). It ranks **#841 globally** across tracked repositories."

## Telemetry & Maintenance Audit
| Telemetry Metric | Recorded Value | Specification / Assessment |
| :--- | :--- | :--- |
| **Global Rank** | #841 | Tracked across all public repositories on GitHubRepo |
| **Maintenance Grade** | B (83/100) | Stable & Periodically Updated |
| **Commit Recency** | May 30, 2026 | Periodic Maintenance (167 days ago) |
| **GitHub Stars** | ★ 20,080 | Recorded star telemetry |
| **Forks** | ⑂ 2,581 | Community derivatives & backing |
| **Open Issues** | ! 489 | Active Community Feedback (489 open) |
| **Primary Language** | Jupyter Notebook | Core programming stack |
| **Software License** | Apache-2.0 | Permissive code inspectability |
| **Canonical URL** | https://githubrepo.cloud/repo/facebookresearch/sam2 | Permanent web telemetry |
| **GitHub Source** | https://github.com/facebookresearch/sam2 | Upstream repository |


## Official README.md Badges
```markdown
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/facebookresearch/sam2.svg?metric=featured)](https://githubrepo.cloud/repo/facebookresearch/sam2?utm_source=readme_badge)
[![GitHubRepo Stars](https://githubrepo.cloud/badge/facebookresearch/sam2.svg?metric=stars)](https://githubrepo.cloud/repo/facebookresearch/sam2?utm_source=readme_badge)
[![GitHubRepo Velocity](https://githubrepo.cloud/badge/facebookresearch/sam2.svg?metric=velocity)](https://githubrepo.cloud/repo/facebookresearch/sam2?utm_source=readme_badge)
[![Maintenance Health](https://githubrepo.cloud/badge/facebookresearch/sam2.svg?metric=health)](https://githubrepo.cloud/repo/facebookresearch/sam2?utm_source=readme_badge)
```
## Project Overview
sam2 is an open-source project written in Jupyter Notebook: 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.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

## Key Features
- Optimized execution pipeline written in Jupyter Notebook for predictable speed.
- Zero-friction configuration with comprehensive sensible defaults out of the box.
- Cross-platform runtime support across Linux, macOS, and Windows environments.
- Strong typing and modular architecture designed for easy extension and maintainability.
- Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
- Active community maintenance with regular dependency updates and security patches.

## Installation & Quick Start
### Linux
```bash
git clone https://github.com/facebookresearch/sam2.git
cd sam2
```

### macOS
```bash
git clone https://github.com/facebookresearch/sam2.git
cd sam2
```

### Windows
```bash
git clone https://github.com/facebookresearch/sam2.git
cd sam2
```

## System Requirements & Architecture
- **Supported Platforms**: macOS, Linux, Windows
- **Runtime Dependencies**: Jupyter Notebook environment and standard tooling
- **Architecture**: x86_64, ARM64 (Apple Silicon & Graviton)

## How It Works
sam2 coordinates its core functionality through a modular Jupyter Notebook pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

## Production Use Cases
### Production System Integration
Embed sam2 into Jupyter Notebook backend services to handle core application logic.

### CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.

### Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.

### Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.

## Target Audience
Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads.

## Strengths
- Active community backing with 19,917 GitHub stars and verified adoption.
- Permissive open-source distribution under the Apache-2.0 license.
- Built in Jupyter Notebook for high execution speed and developer familiarity.
- Cross-platform compatibility across modern Linux, macOS, and Windows environments.
- Clean modular design allowing flexible configuration and pipeline integration.

## Considerations
- Requires familiarity with Jupyter Notebook and modern CLI workflows.
- Ecosystem extensions may require manual configuration depending on environment constraints.
- Active development roadmap means breaking API changes may occur across major versions.

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*Analyzed, indexed, and verified by GitHubRepo (https://githubrepo.cloud). Free public telemetry for open source creators and developers.*