{
  "id": 164192,
  "title": "Training Image Resized Set",
  "url": "/competitions/landmark-retrieval-2020/discussion/164192",
  "author_name": "",
  "post_date": "2020-07-05T05:49:44.484657Z",
  "votes": 8,
  "comment_count": 2,
  "views": 0,
  "content": "<p>On the training stage, we need to resize images, thus I resized (<a href=\"https://www.kaggle.com/miklgr500/fast-image-resize-224x224\">using this script</a>)  and saved in the new dataset:\n - <a href=\"https://www.kaggle.com/miklgr500/google-landmark-retrieval-2020-train-224x224\">Google Landmark Retrieval 2020 Train [224x224]</a></p>\n\n<p>Also, I propose you to share your resized dataset in this topic.</p>",
  "messages": [
    {
      "id": "915819",
      "postDate": "07/05/2020 05:49:44",
      "content": "<p>On the training stage, we need to resize images, thus I resized (<a href=\"https://www.kaggle.com/miklgr500/fast-image-resize-224x224\">using this script</a>)  and saved in the new dataset:\n - <a href=\"https://www.kaggle.com/miklgr500/google-landmark-retrieval-2020-train-224x224\">Google Landmark Retrieval 2020 Train [224x224]</a></p>\n\n<p>Also, I propose you to share your resized dataset in this topic.</p>",
      "rawMarkdown": "On the training stage, we need to resize images, thus I resized ([using this script](https://www.kaggle.com/miklgr500/fast-image-resize-224x224))  and saved in the new dataset:\n - [Google Landmark Retrieval 2020 Train [224x224]](https://www.kaggle.com/miklgr500/google-landmark-retrieval-2020-train-224x224)\n\nAlso, I propose you to share your resized dataset in this topic.",
      "votes": null
    },
    {
      "id": "918259",
      "postDate": "07/07/2020 06:00:01",
      "content": "<p>thanks.\nIs it clean train set??</p>",
      "rawMarkdown": "thanks.\nIs it clean train set??",
      "votes": null
    },
    {
      "id": "931634",
      "postDate": "07/16/2020 10:35:15",
      "content": "<p>I guess so, the number of images seems to match</p>",
      "rawMarkdown": "I guess so, the number of images seems to match",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 918259,
      "author_name": "",
      "author_url": "",
      "post_date": "07/07/2020 06:00:01",
      "content": "<p>thanks.\nIs it clean train set??</p>",
      "votes": null,
      "replies": [
        {
          "id": 931634,
          "author_name": "amarmrf",
          "author_url": "",
          "post_date": "07/16/2020 10:35:15",
          "content": "<p>I guess so, the number of images seems to match</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "915819": "On the training stage, we need to resize images, thus I resized ([using this script](https://www.kaggle.com/miklgr500/fast-image-resize-224x224))  and saved in the new dataset:\n - [Google Landmark Retrieval 2020 Train [224x224]](https://www.kaggle.com/miklgr500/google-landmark-retrieval-2020-train-224x224)\n\nAlso, I propose you to share your resized dataset in this topic.",
    "918259": "thanks.\nIs it clean train set??",
    "931634": "I guess so, the number of images seems to match"
  },
  "source": "meta"
}