{
  "source_file": "0930",
  "source_platform": "Beehiiv",
  "author": "Akshay Pachaar / ML Spring",
  "title_listed": "Intro to SAM (Segment Anything Model)",
  "keywords": "",
  "domain": "图像处理",
  "content_type": "技术教程",
  "is_paid_flag": "否",
  "url": "https://mlspring.beehiiv.com/p/intro-sam-segment-anything-model",
  "publish_date": "2023-08",
  "corpus_stage": "",
  "notes": "",
  "id": "1de5c84e1327",
  "collected_at": "2026-10-02T14:12:33",
  "title": "Intro To SAM: Segment Anything Model! 🚀",
  "body_markdown": "0\n0\nML Spring\nPosts\nIntro To SAM: Segment Anything Model! 🚀\nIntro To SAM: Segment Anything Model! 🚀\nRedefining Computer Vision! - @mohit_agr18\nMohit Agarwal\nFebruary 26, 2024\nIn April of 2023, Meta Research released, a foundational model, called Segment Anything Model or SAM. In this blog post we will get an overview on how it works and how it was trained.\nSubscribe to keep reading\nThis content is free, but you must be subscribed to ML Spring to continue reading.\nAlready a subscriber?\nSign in\n.\nNot now\nReply\nNewest first\nAdd your comment\nLogin\nLogin\nor\nSubscribe\nto participate\n.",
  "metadata": {
    "title": "Intro To SAM: Segment Anything Model! 🚀",
    "description": "Redefining Computer Vision! - @mohit_agr18",
    "keywords": "data science, programming, machine learning",
    "author": "Mohit Agarwal",
    "og:type": "article",
    "og:url": "https://mlspring.beehiiv.com/p/intro-sam-segment-anything-model",
    "og:title": "Intro To SAM: Segment Anything Model! 🚀",
    "og:description": "Redefining Computer Vision! - @mohit_agr18",
    "og:site_name": "ML Spring",
    "og:image": "https://beehiiv-images-production.s3.amazonaws.com/uploads/asset/file/31930630-4b74-4948-809e-db8bb91012e7/Screenshot_2024-02-26_at_5.53.32_PM.png?t=1708950227",
    "og:image:width": "1200",
    "og:image:height": "630",
    "og:image:alt": "Redefining Computer Vision! - @mohit_agr18",
    "twitter:url": "https://mlspring.beehiiv.com/p/intro-sam-segment-anything-model",
    "twitter:title": "Intro To SAM: Segment Anything Model! 🚀",
    "twitter:description": "Redefining Computer Vision! - @mohit_agr18",
    "twitter:image": "https://beehiiv-images-production.s3.amazonaws.com/uploads/asset/file/31930630-4b74-4948-809e-db8bb91012e7/Screenshot_2024-02-26_at_5.53.32_PM.png?t=1708950227",
    "twitter:card": "summary_large_image",
    "article:author": "Mohit Agarwal"
  },
  "paywall": {
    "listed_paid": false,
    "detected": false,
    "marker": "",
    "public_only": false,
    "policy": "付费/会员内容只保留页面公开可见部分，不绕过付费墙"
  },
  "crawl": {
    "success": true,
    "status_code": 200,
    "error": ""
  },
  "code_blocks": [],
  "images": [
    {
      "status": "ok",
      "url": "https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/static_assets/gradient_avatar_2.png",
      "bytes": 12156,
      "reused": true,
      "local_path": "attachments/1de5c84e1327/images/000.png",
      "src": "https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/static_assets/gradient_avatar_2.png",
      "alt": "Author",
      "downloaded": true
    },
    {
      "status": "ok",
      "url": "https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/4cbab6fb-e58b-40be-888a-c1e85c3c737c/image.png?t=1708871964",
      "bytes": 328964,
      "reused": false,
      "local_path": "attachments/1de5c84e1327/images/body-37a6231f871f7904ea1d.png",
      "src": "https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/4cbab6fb-e58b-40be-888a-c1e85c3c737c/image.png?t=1708871964",
      "alt": "",
      "downloaded": true
    }
  ],
  "audio": [],
  "videos": [],
  "links": [
    {
      "href": "https://mlspring.beehiiv.com/",
      "label": "ML Spring",
      "type": "a"
    },
    {
      "href": "https://mlspring.beehiiv.com/authors/mohit-agarwal",
      "label": "Mohit Agarwal",
      "type": "a"
    },
    {
      "href": "https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fmlspring.beehiiv.com%2Fp%2Fintro-sam-segment-anything-model",
      "label": "",
      "type": "a"
    },
    {
      "href": "https://twitter.com/intent/tweet?text=Redefining+Computer+Vision%21+-+%40mohit_agr18&url=https%3A%2F%2Fmlspring.beehiiv.com%2Fp%2Fintro-sam-segment-anything-model",
      "label": "",
      "type": "a"
    },
    {
      "href": "https://www.threads.net/intent/post?text=Redefining+Computer+Vision%21+-+%40mohit_agr18+https%3A%2F%2Fmlspring.beehiiv.com%2Fp%2Fintro-sam-segment-anything-model",
      "label": "",
      "type": "a"
    },
    {
      "href": "https://www.linkedin.com/sharing/share-offsite?url=https%3A%2F%2Fmlspring.beehiiv.com%2Fp%2Fintro-sam-segment-anything-model",
      "label": "",
      "type": "a"
    },
    {
      "href": "https://mlspring.beehiiv.com/login?postSlug=intro-sam-segment-anything-model",
      "label": "Sign in .",
      "type": "a"
    }
  ],
  "repair_version": 2,
  "repaired_at": "2026-10-14T10:51:11Z",
  "source_url": "https://mlspring.beehiiv.com/p/intro-sam-segment-anything-model",
  "papers": [],
  "actual_video_files": [],
  "body_chars": 585,
  "expected_body_images": 2,
  "discovery_status": "ok",
  "delivery_status": "ok",
  "missing_reason": "",
  "raw_html": "attachments/1de5c84e1327/pages/source.html",
  "local_html": "attachments/1de5c84e1327/pages/article.html",
  "body_base_path": "attachments/1de5c84e1327/pages/",
  "body_markdown_path": "attachments/1de5c84e1327/pages/article.md"
}