{
  "id": 319146,
  "title": "Share your learnings from competition here ",
  "url": "/competitions/happy-whale-and-dolphin/discussion/319146",
  "author_name": "",
  "post_date": "2022-04-15T17:03:50.789823800Z",
  "votes": 8,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I'll go first. </p>\n<ul>\n<li>this was the first competition where I learned about arc face and how can I implement arc face distance with PyTorch. </li>\n<li>Another learning was ensembling models works better </li>\n<li>the cropped dataset from <a href=\"https://www.kaggle.com/awsaf49\" target=\"_blank\">@awsaf49</a> with YOLO was another great learning tool </li>\n<li>for cropping the images further the idea of crowdsourcing by <a href=\"https://www.kaggle.com/wolfy73\" target=\"_blank\">@wolfy73</a> was really great (<a href=\"https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310101\" target=\"_blank\">post link</a>) <br>\nI'll add more in coming days :) </li>\n</ul>",
  "messages": [
    {
      "id": "1756618",
      "postDate": "04/15/2022 17:03:50",
      "content": "<p>I'll go first. </p>\n<ul>\n<li>this was the first competition where I learned about arc face and how can I implement arc face distance with PyTorch. </li>\n<li>Another learning was ensembling models works better </li>\n<li>the cropped dataset from <a href=\"https://www.kaggle.com/awsaf49\" target=\"_blank\">@awsaf49</a> with YOLO was another great learning tool </li>\n<li>for cropping the images further the idea of crowdsourcing by <a href=\"https://www.kaggle.com/wolfy73\" target=\"_blank\">@wolfy73</a> was really great (<a href=\"https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310101\" target=\"_blank\">post link</a>) <br>\nI'll add more in coming days :) </li>\n</ul>",
      "rawMarkdown": "I'll go first. \n* this was the first competition where I learned about arc face and how can I implement arc face distance with PyTorch. \n* Another learning was ensembling models works better \n* the cropped dataset from @awsaf49 with YOLO was another great learning tool \n* for cropping the images further the idea of crowdsourcing by @wolfy73 was really great ([post link](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310101)) \nI'll add more in coming days :)",
      "votes": null
    },
    {
      "id": "1758738",
      "postDate": "04/18/2022 03:06:30",
      "content": "<p>Good to hear your leanings, !</p>",
      "rawMarkdown": "Good to hear your leanings, !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1758738,
      "author_name": "bhavesh0124",
      "author_url": "",
      "post_date": "04/18/2022 03:06:30",
      "content": "<p>Good to hear your leanings, !</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1756618": "I'll go first. \n* this was the first competition where I learned about arc face and how can I implement arc face distance with PyTorch. \n* Another learning was ensembling models works better \n* the cropped dataset from @awsaf49 with YOLO was another great learning tool \n* for cropping the images further the idea of crowdsourcing by @wolfy73 was really great ([post link](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310101)) \nI'll add more in coming days :)",
    "1758738": "Good to hear your leanings, !"
  },
  "source": "meta"
}