{
  "id": 163390,
  "title": "Identifying landmark name from landmark id",
  "url": "/competitions/landmark-retrieval-2020/discussion/163390",
  "author_name": "",
  "post_date": "2020-07-01T20:42:47.441641700Z",
  "votes": 5,
  "comment_count": 1,
  "views": 0,
  "content": "<p>The <a href=\"https://github.com/cvdfoundation/google-landmark\">CVD Foundation page on Github</a> has a csv file identifying the landmarks: <a href=\"https://s3.amazonaws.com/google-landmark/metadata/train_label_to_category.csv\">Train Label to Category</a> </p>\n\n<p>This file contains the landmark_id and corresponding Wikipedia page link for the landmark.</p>\n\n<p>From this file, landmark name can be extracted easily. I have created a notebook to show how to get these details: <a href=\"https://www.kaggle.com/sudeepshouche/identify-landmark-name-from-landmark-id\">Identify Landmark Name From Landmark Id</a>.</p>",
  "messages": [
    {
      "id": "911572",
      "postDate": "07/01/2020 20:42:47",
      "content": "<p>The <a href=\"https://github.com/cvdfoundation/google-landmark\">CVD Foundation page on Github</a> has a csv file identifying the landmarks: <a href=\"https://s3.amazonaws.com/google-landmark/metadata/train_label_to_category.csv\">Train Label to Category</a> </p>\n\n<p>This file contains the landmark_id and corresponding Wikipedia page link for the landmark.</p>\n\n<p>From this file, landmark name can be extracted easily. I have created a notebook to show how to get these details: <a href=\"https://www.kaggle.com/sudeepshouche/identify-landmark-name-from-landmark-id\">Identify Landmark Name From Landmark Id</a>.</p>",
      "rawMarkdown": "The [CVD Foundation page on Github](https://github.com/cvdfoundation/google-landmark) has a csv file identifying the landmarks: [Train Label to Category](https://s3.amazonaws.com/google-landmark/metadata/train_label_to_category.csv) \n\nThis file contains the landmark_id and corresponding Wikipedia page link for the landmark.\n\nFrom this file, landmark name can be extracted easily. I have created a notebook to show how to get these details: [Identify Landmark Name From Landmark Id](https://www.kaggle.com/sudeepshouche/identify-landmark-name-from-landmark-id).",
      "votes": null
    },
    {
      "id": "916123",
      "postDate": "07/05/2020 11:41:41",
      "content": "<p><a href=\"/sudeepshouche\">@sudeepshouche</a> Thank you very much</p>",
      "rawMarkdown": "sudeepshouche Thank you very much",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 916123,
      "author_name": "digvijayyadav",
      "author_url": "",
      "post_date": "07/05/2020 11:41:41",
      "content": "<p><a href=\"/sudeepshouche\">@sudeepshouche</a> Thank you very much</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "911572": "The [CVD Foundation page on Github](https://github.com/cvdfoundation/google-landmark) has a csv file identifying the landmarks: [Train Label to Category](https://s3.amazonaws.com/google-landmark/metadata/train_label_to_category.csv) \n\nThis file contains the landmark_id and corresponding Wikipedia page link for the landmark.\n\nFrom this file, landmark name can be extracted easily. I have created a notebook to show how to get these details: [Identify Landmark Name From Landmark Id](https://www.kaggle.com/sudeepshouche/identify-landmark-name-from-landmark-id).",
    "916123": "sudeepshouche Thank you very much"
  },
  "source": "meta"
}