{
  "id": 236876,
  "title": "How are the masks created in real life? ",
  "url": "/competitions/data-science-bowl-2018/discussion/236876",
  "author_name": "",
  "post_date": "2021-05-06T07:55:10.718269100Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Along with the training data of images, we are seen that masks are are also given. But how can we generate masks ourselves for a custom dataset?</p>",
  "messages": [
    {
      "id": "1295106",
      "postDate": "05/06/2021 07:55:10",
      "content": "<p>Along with the training data of images, we are seen that masks are are also given. But how can we generate masks ourselves for a custom dataset?</p>",
      "rawMarkdown": "Along with the training data of images, we are seen that masks are are also given. But how can we generate masks ourselves for a custom dataset?",
      "votes": null
    },
    {
      "id": "1295293",
      "postDate": "05/06/2021 11:01:03",
      "content": "<p>You can see the strategies we used here: <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900\" target=\"_blank\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900</a> You can also check our recent paper; we don't overview annotation tools very much but do mention them in the context of user-friendly software for deep learning. It's #144 Lucas et al here: <a href=\"https://carpenterlab.broadinstitute.org/papers\" target=\"_blank\">https://carpenterlab.broadinstitute.org/papers</a></p>",
      "rawMarkdown": "You can see the strategies we used here: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900 You can also check our recent paper; we don't overview annotation tools very much but do mention them in the context of user-friendly software for deep learning. It's #144 Lucas et al here: https://carpenterlab.broadinstitute.org/papers",
      "votes": null
    },
    {
      "id": "1295417",
      "postDate": "05/06/2021 12:51:44",
      "content": "<p><a href=\"https://www.kaggle.com/drannecarpenter\" target=\"_blank\">@drannecarpenter</a>  Thank you so much for your help ! </p>",
      "rawMarkdown": "drannecarpenter  Thank you so much for your help !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1295293,
      "author_name": "drannecarpenter",
      "author_url": "",
      "post_date": "05/06/2021 11:01:03",
      "content": "<p>You can see the strategies we used here: <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900\" target=\"_blank\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900</a> You can also check our recent paper; we don't overview annotation tools very much but do mention them in the context of user-friendly software for deep learning. It's #144 Lucas et al here: <a href=\"https://carpenterlab.broadinstitute.org/papers\" target=\"_blank\">https://carpenterlab.broadinstitute.org/papers</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1295417,
      "author_name": "amartyabhattacharya",
      "author_url": "",
      "post_date": "05/06/2021 12:51:44",
      "content": "<p><a href=\"https://www.kaggle.com/drannecarpenter\" target=\"_blank\">@drannecarpenter</a>  Thank you so much for your help ! </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1295106": "Along with the training data of images, we are seen that masks are are also given. But how can we generate masks ourselves for a custom dataset?",
    "1295293": "You can see the strategies we used here: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54900 You can also check our recent paper; we don't overview annotation tools very much but do mention them in the context of user-friendly software for deep learning. It's #144 Lucas et al here: https://carpenterlab.broadinstitute.org/papers",
    "1295417": "drannecarpenter  Thank you so much for your help !"
  },
  "source": "meta"
}