{
  "id": 396753,
  "title": "Interactive Dashboard to visualize ALL the training data per category!",
  "url": "/competitions/asl-signs/discussion/396753",
  "author_name": "",
  "post_date": "2023-03-22T19:06:26.162025700Z",
  "votes": 29,
  "comment_count": 4,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2F95c02d6a04ed709012e713387cde00e7%2FScreen%20Shot%202023-03-22%20at%203.00.27%20PM.png?generation=1679511657943409&amp;alt=media\" alt=\"\"><br>\nBy running the following <a href=\"https://www.kaggle.com/code/josephzahar/dynamic-dashboard-landmark-visualization/edit/run/123029498\" target=\"_blank\">notebook</a>, you will have access to my public dashboard where you can visualize all the training data in a click! I propose 2 pages in 1:</p>\n<ol>\n<li><strong>2D landmark animation</strong></li>\n<li><strong>2D Mean Frame</strong><br>\nYou can play around and examine the data with no code! It will also be of great help to understand your model classification errors. </li>\n</ol>\n<blockquote>\n  <p>Happy Analysis 🚀</p>\n</blockquote>",
  "messages": [
    {
      "id": "2192607",
      "postDate": "03/22/2023 19:06:26",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2F95c02d6a04ed709012e713387cde00e7%2FScreen%20Shot%202023-03-22%20at%203.00.27%20PM.png?generation=1679511657943409&amp;alt=media\" alt=\"\"><br>\nBy running the following <a href=\"https://www.kaggle.com/code/josephzahar/dynamic-dashboard-landmark-visualization/edit/run/123029498\" target=\"_blank\">notebook</a>, you will have access to my public dashboard where you can visualize all the training data in a click! I propose 2 pages in 1:</p>\n<ol>\n<li><strong>2D landmark animation</strong></li>\n<li><strong>2D Mean Frame</strong><br>\nYou can play around and examine the data with no code! It will also be of great help to understand your model classification errors. </li>\n</ol>\n<blockquote>\n  <p>Happy Analysis 🚀</p>\n</blockquote>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2F95c02d6a04ed709012e713387cde00e7%2FScreen%20Shot%202023-03-22%20at%203.00.27%20PM.png?generation=1679511657943409&alt=media)\n\nBy running the following [notebook](https://www.kaggle.com/code/josephzahar/dynamic-dashboard-landmark-visualization/edit/run/123029498), you will have access to my public dashboard where you can visualize all the training data in a click! I propose 2 pages in 1:\n1. **2D landmark animation**\n2. **2D Mean Frame**\n\nYou can play around and examine the data with no code! It will also be of great help to understand your model classification errors. \n\n>Happy Analysis 🚀",
      "votes": null
    },
    {
      "id": "2192608",
      "postDate": "03/22/2023 19:11:09",
      "content": "<p>Very impressive, thanks!</p>",
      "rawMarkdown": "Very impressive, thanks!",
      "votes": null
    },
    {
      "id": "2192818",
      "postDate": "03/22/2023 23:55:41",
      "content": "<p>Thanks <a href=\"https://www.kaggle.com/josephzahar\" target=\"_blank\">@josephzahar</a>  What  a fabulous job done by you. Thanks for sharing your valuable insights!</p>",
      "rawMarkdown": "Thanks @josephzahar  What  a fabulous job done by you. Thanks for sharing your valuable insights!",
      "votes": null
    },
    {
      "id": "2195713",
      "postDate": "03/24/2023 20:52:42",
      "content": "<p>Hey this is neat! Nice work. I did find the character models flipped for at least some of the examples. Is that a known bug?</p>",
      "rawMarkdown": "Hey this is neat! Nice work. I did find the character models flipped for at least some of the examples. Is that a known bug?",
      "votes": null
    },
    {
      "id": "2195854",
      "postDate": "03/24/2023 23:31:19",
      "content": "<p>Good catch!<br>\nIts not a bug in the code but rather in some of the data files.</p>",
      "rawMarkdown": "Good catch!\nIts not a bug in the code but rather in some of the data files.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2192608,
      "author_name": "vladimirclavely",
      "author_url": "",
      "post_date": "03/22/2023 19:11:09",
      "content": "<p>Very impressive, thanks!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2192818,
      "author_name": "tariqbashir",
      "author_url": "",
      "post_date": "03/22/2023 23:55:41",
      "content": "<p>Thanks <a href=\"https://www.kaggle.com/josephzahar\" target=\"_blank\">@josephzahar</a>  What  a fabulous job done by you. Thanks for sharing your valuable insights!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2195713,
      "author_name": "compute",
      "author_url": "",
      "post_date": "03/24/2023 20:52:42",
      "content": "<p>Hey this is neat! Nice work. I did find the character models flipped for at least some of the examples. Is that a known bug?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2195854,
          "author_name": "josephzahar",
          "author_url": "",
          "post_date": "03/24/2023 23:31:19",
          "content": "<p>Good catch!<br>\nIts not a bug in the code but rather in some of the data files.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2192607": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2F95c02d6a04ed709012e713387cde00e7%2FScreen%20Shot%202023-03-22%20at%203.00.27%20PM.png?generation=1679511657943409&alt=media)\n\nBy running the following [notebook](https://www.kaggle.com/code/josephzahar/dynamic-dashboard-landmark-visualization/edit/run/123029498), you will have access to my public dashboard where you can visualize all the training data in a click! I propose 2 pages in 1:\n1. **2D landmark animation**\n2. **2D Mean Frame**\n\nYou can play around and examine the data with no code! It will also be of great help to understand your model classification errors. \n\n>Happy Analysis 🚀",
    "2192608": "Very impressive, thanks!",
    "2192818": "Thanks @josephzahar  What  a fabulous job done by you. Thanks for sharing your valuable insights!",
    "2195713": "Hey this is neat! Nice work. I did find the character models flipped for at least some of the examples. Is that a known bug?",
    "2195854": "Good catch!\nIts not a bug in the code but rather in some of the data files."
  },
  "source": "meta"
}