{
  "id": 546464,
  "title": "Data Inconsistency ",
  "url": "/competitions/czii-cryo-et-object-identification/discussion/546464",
  "author_name": "CircuitGuru",
  "post_date": "2024-11-16T01:31:23.222000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hey guys,</p>\n<p>Since the data is inconsistent on the first dimension, how are you guys going about training your model (padding, cropping, etc.?) Ex: One data point is (184, 640, 640) while another is (156, 640, 640)</p>\n<p>Thanks!</p>",
  "messages": [
    {
      "id": 3047071,
      "postDate": "2024-11-16T08:08:59.490Z",
      "content": "<p>What is inconsistent here?</p>",
      "rawMarkdown": "What is inconsistent here?",
      "replies": [
        {
          "id": 3047498,
          "postDate": "2024-11-16T18:38:39.590Z",
          "content": "<p>The volumes have differeing shapes such as (184, 630, 630) and (92, 315, 315)</p>",
          "rawMarkdown": "The volumes have differeing shapes such as (184, 630, 630) and (92, 315, 315)",
          "replies": [
            {
              "id": 3049687,
              "postDate": "2024-11-19T12:23:08.960Z",
              "content": "<p><a href=\"https://www.kaggle.com/circuitguru\" target=\"_blank\">@circuitguru</a> As per my understanding  (184, 630, 630) refers to High Resolution data , (92, 315, 315) Mid Resolution Data . Both of these data are same but have different resolution. Please follow this Thread <a href=\"https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546195\" target=\"_blank\">https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546195</a></p>",
              "rawMarkdown": "@circuitguru As per my understanding  (184, 630, 630) refers to High Resolution data , (92, 315, 315) Mid Resolution Data . Both of these data are same but have different resolution. Please follow this Thread https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546195",
              "votes": 1,
              "isDeleted": true
            }
          ]
        }
      ]
    },
    {
      "id": 3046865,
      "postDate": "2024-11-16T01:31:23.223Z",
      "content": "<p>Hey guys,</p>\n<p>Since the data is inconsistent on the first dimension, how are you guys going about training your model (padding, cropping, etc.?) Ex: One data point is (184, 640, 640) while another is (156, 640, 640)</p>\n<p>Thanks!</p>",
      "rawMarkdown": "Hey guys,\n\nSince the data is inconsistent on the first dimension, how are you guys going about training your model (padding, cropping, etc.?) Ex: One data point is (184, 640, 640) while another is (156, 640, 640)\n\nThanks!"
    }
  ],
  "comments": [
    {
      "id": 3047071,
      "author_name": "DennisSakva",
      "author_url": "",
      "post_date": "2024-11-16T08:08:59.490000",
      "content": "<p>What is inconsistent here?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 3047498,
          "author_name": "CircuitGuru",
          "author_url": "",
          "post_date": "2024-11-16T18:38:39.590000",
          "content": "<p>The volumes have differeing shapes such as (184, 630, 630) and (92, 315, 315)</p>",
          "votes": 0,
          "replies": [
            {
              "id": 3049687,
              "author_name": "",
              "author_url": "",
              "post_date": "2024-11-19T12:23:08.960000",
              "content": "<p><a href=\"https://www.kaggle.com/circuitguru\" target=\"_blank\">@circuitguru</a> As per my understanding  (184, 630, 630) refers to High Resolution data , (92, 315, 315) Mid Resolution Data . Both of these data are same but have different resolution. Please follow this Thread <a href=\"https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546195\" target=\"_blank\">https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546195</a></p>",
              "votes": 1,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3047071": "What is inconsistent here?",
    "3046865": "Hey guys,\n\nSince the data is inconsistent on the first dimension, how are you guys going about training your model (padding, cropping, etc.?) Ex: One data point is (184, 640, 640) while another is (156, 640, 640)\n\nThanks!"
  }
}