{
  "id": 317857,
  "title": "How to merge the images with labels?",
  "url": "/competitions/happy-whale-and-dolphin/discussion/317857",
  "author_name": "",
  "post_date": "2022-04-09T08:08:03.246706200Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I'm a newbie in kaggle competitions, I see that the images and their labels are separate. How do I merge them like normal datasets where there are feature columns and a label/(or is there another way to work with these kinds of datasets) so that I can do EDA and build a model?</p>",
  "messages": [
    {
      "id": "1750002",
      "postDate": "04/09/2022 08:08:03",
      "content": "<p>I'm a newbie in kaggle competitions, I see that the images and their labels are separate. How do I merge them like normal datasets where there are feature columns and a label/(or is there another way to work with these kinds of datasets) so that I can do EDA and build a model?</p>",
      "rawMarkdown": "I'm a newbie in kaggle competitions, I see that the images and their labels are separate. How do I merge them like normal datasets where there are feature columns and a label/(or is there another way to work with these kinds of datasets) so that I can do EDA and build a model?",
      "votes": null
    },
    {
      "id": "1750344",
      "postDate": "04/09/2022 14:57:02",
      "content": "<p>I think these great notebooks are useful.<br>\n<a href=\"https://www.kaggle.com/code/ks2019/happywhale-arcface-baseline-tpu\" target=\"_blank\">tensorflow baseline</a><br>\n<a href=\"https://www.kaggle.com/code/debarshichanda/pytorch-arcface-gem-pooling-starter\" target=\"_blank\">pytorch baseline</a><br>\n<a href=\"https://www.kaggle.com/code/awsaf49/happywhale-data-distribution\" target=\"_blank\">EDA</a></p>",
      "rawMarkdown": "I think these great notebooks are useful.\n[tensorflow baseline](https://www.kaggle.com/code/ks2019/happywhale-arcface-baseline-tpu)\n[pytorch baseline](https://www.kaggle.com/code/debarshichanda/pytorch-arcface-gem-pooling-starter)\n[EDA](https://www.kaggle.com/code/awsaf49/happywhale-data-distribution)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1750344,
      "author_name": "ksork6s4",
      "author_url": "",
      "post_date": "04/09/2022 14:57:02",
      "content": "<p>I think these great notebooks are useful.<br>\n<a href=\"https://www.kaggle.com/code/ks2019/happywhale-arcface-baseline-tpu\" target=\"_blank\">tensorflow baseline</a><br>\n<a href=\"https://www.kaggle.com/code/debarshichanda/pytorch-arcface-gem-pooling-starter\" target=\"_blank\">pytorch baseline</a><br>\n<a href=\"https://www.kaggle.com/code/awsaf49/happywhale-data-distribution\" target=\"_blank\">EDA</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1750002": "I'm a newbie in kaggle competitions, I see that the images and their labels are separate. How do I merge them like normal datasets where there are feature columns and a label/(or is there another way to work with these kinds of datasets) so that I can do EDA and build a model?",
    "1750344": "I think these great notebooks are useful.\n[tensorflow baseline](https://www.kaggle.com/code/ks2019/happywhale-arcface-baseline-tpu)\n[pytorch baseline](https://www.kaggle.com/code/debarshichanda/pytorch-arcface-gem-pooling-starter)\n[EDA](https://www.kaggle.com/code/awsaf49/happywhale-data-distribution)"
  },
  "source": "meta"
}