{
  "schemaVersion": "1.0",
  "updates": [],
  "companyNews": [],
  "id": "b542",
  "language": "zh",
  "name": "Segment Anything（SAM）",
  "originalName": "Segment Anything（SAM）",
  "library": "tools",
  "category": "图像设计",
  "categoryKey": "图像设计",
  "categoryKeys": [
    "图像设计"
  ],
  "categories": [
    "图像设计"
  ],
  "entryPoints": [
    {
      "kind": "docs",
      "categoryKey": "图像设计",
      "category": "图像设计",
      "label": "模型文档",
      "url": "https://github.com/facebookresearch/segment-anything",
      "summary": "原版 SAM 图像分割模型，根据点、框等提示提取目标掩膜，也可自动分割整张图像。"
    }
  ],
  "summary": "原版 SAM 图像分割模型，根据点、框等提示提取目标掩膜，也可自动分割整张图像。",
  "introduction": "Segment Anything是Meta的图像分割模型，可根据点、框等提示分割目标区域。输出掩膜用于标识图像中的对象，官方代码也提供自动生成掩膜的使用方式。仓库包含推理代码、模型权重和示例笔记本，供开发者集成到自己的图像处理流程。",
  "capabilities": [],
  "company": {
    "name": "Meta人工智能研究团队",
    "originalName": "Meta AI Research, FAIR",
    "country": {
      "codes": [
        "US"
      ],
      "names": [
        "美国"
      ],
      "display": "美国",
      "basis": "headquarters",
      "basisLabel": "公司总部"
    }
  },
  "officialUrl": "https://github.com/facebookresearch/segment-anything",
  "profileUpdatedOn": "2026-10-20",
  "sources": [
    {
      "kind": "product",
      "url": "https://github.com/facebookresearch/segment-anything"
    },
    {
      "kind": "documentation",
      "url": "https://github.com/facebookresearch/segment-anything/blob/main/notebooks/predictor_example.ipynb"
    },
    {
      "kind": "documentation",
      "url": "https://github.com/facebookresearch/segment-anything/blob/main/notebooks/automatic_mask_generator_example.ipynb"
    }
  ],
  "news": [],
  "links": {
    "interactive": "products/segment-anything-sam--b542.html",
    "reading": "read/zh/products/segment-anything-sam--b542.html",
    "markdown": "read/zh/products/segment-anything-sam--b542.md",
    "json": "read/zh/products/segment-anything-sam--b542.json"
  }
}