{
  "id": 409556,
  "title": "Segment Anything - META AI",
  "url": "/competitions/benetech-making-graphs-accessible/discussion/409556",
  "author_name": "",
  "post_date": "2023-05-11T15:32:42.276066500Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi,<br>\nHas anyone tried the \"Segment Anything\" model by META AI to detect useful things in the graph that can then be used?<br>\nLink to the paper: <a href=\"https://arxiv.org/pdf/2304.02643.pdf\" target=\"_blank\">https://arxiv.org/pdf/2304.02643.pdf</a><br>\nLink to the demo: <a href=\"https://segment-anything.com/demo#\" target=\"_blank\">https://segment-anything.com/demo#</a></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5959986%2Fdd297491ecb9a85a141ed7fe3a744ca1%2FSegmentAnything.png?generation=1683819156225044&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": "2255231",
      "postDate": "05/11/2023 15:32:42",
      "content": "<p>Hi,<br>\nHas anyone tried the \"Segment Anything\" model by META AI to detect useful things in the graph that can then be used?<br>\nLink to the paper: <a href=\"https://arxiv.org/pdf/2304.02643.pdf\" target=\"_blank\">https://arxiv.org/pdf/2304.02643.pdf</a><br>\nLink to the demo: <a href=\"https://segment-anything.com/demo#\" target=\"_blank\">https://segment-anything.com/demo#</a></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5959986%2Fdd297491ecb9a85a141ed7fe3a744ca1%2FSegmentAnything.png?generation=1683819156225044&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Hi,\nHas anyone tried the \"Segment Anything\" model by META AI to detect useful things in the graph that can then be used?\nLink to the paper: https://arxiv.org/pdf/2304.02643.pdf\nLink to the demo: https://segment-anything.com/demo#\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5959986%2Fdd297491ecb9a85a141ed7fe3a744ca1%2FSegmentAnything.png?generation=1683819156225044&alt=media)",
      "votes": null
    },
    {
      "id": "2256089",
      "postDate": "05/12/2023 08:57:03",
      "content": "<p>I do not have personal experience using the \"Segment Anything\" model by META AI. But thanks for sharing, I will definitely get acquainted</p>",
      "rawMarkdown": "I do not have personal experience using the \"Segment Anything\" model by META AI. But thanks for sharing, I will definitely get acquainted",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2256089,
      "author_name": "ericka42",
      "author_url": "",
      "post_date": "05/12/2023 08:57:03",
      "content": "<p>I do not have personal experience using the \"Segment Anything\" model by META AI. But thanks for sharing, I will definitely get acquainted</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2255231": "Hi,\nHas anyone tried the \"Segment Anything\" model by META AI to detect useful things in the graph that can then be used?\nLink to the paper: https://arxiv.org/pdf/2304.02643.pdf\nLink to the demo: https://segment-anything.com/demo#\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5959986%2Fdd297491ecb9a85a141ed7fe3a744ca1%2FSegmentAnything.png?generation=1683819156225044&alt=media)",
    "2256089": "I do not have personal experience using the \"Segment Anything\" model by META AI. But thanks for sharing, I will definitely get acquainted"
  },
  "source": "meta"
}