{
  "id": 94770,
  "title": "Hosting 300,000 train images 256x256 on Kaggle",
  "url": "/competitions/open-images-2019-object-detection/discussion/94770",
  "author_name": "James Dietle",
  "post_date": "2019-06-06T18:59:10.878000",
  "votes": 45,
  "comment_count": 10,
  "views": 0,
  "content": "<p>The biggest problem for these competitions seems to be the massive datasets. So I went and made a dataset with 1/6 of the images at squished down to 256x256 </p>\n\n<p><a href=\"https://www.kaggle.com/mindtrinket/google-2019-30k-train/\">You can find it here</a></p>\n\n<p>I hope this helps some people start out!</p>",
  "messages": [
    {
      "id": 546634,
      "postDate": "2019-06-06T18:59:10.877Z",
      "content": "<p>The biggest problem for these competitions seems to be the massive datasets. So I went and made a dataset with 1/6 of the images at squished down to 256x256 </p>\n\n<p><a href=\"https://www.kaggle.com/mindtrinket/google-2019-30k-train/\">You can find it here</a></p>\n\n<p>I hope this helps some people start out!</p>",
      "rawMarkdown": "The biggest problem for these competitions seems to be the massive datasets. So I went and made a dataset with 1/6 of the images at squished down to 256x256 \n\n[You can find it here](https://www.kaggle.com/mindtrinket/google-2019-30k-train/)\n\nI hope this helps some people start out!",
      "votes": 44
    },
    {
      "id": 564216,
      "postDate": "2019-06-29T06:32:25.167Z",
      "content": "<p>thanks man, but i wanted to know  if i can use this dataset in colab . how to do it</p>",
      "rawMarkdown": "thanks man, but i wanted to know  if i can use this dataset in colab . how to do it"
    },
    {
      "id": 560881,
      "postDate": "2019-06-25T22:24:53.150Z",
      "content": "<p>Thx!</p>",
      "rawMarkdown": "Thx!"
    },
    {
      "id": 554904,
      "postDate": "2019-06-18T06:59:23.047Z",
      "content": "<p>You save we poor single guy. UP UP UP</p>",
      "rawMarkdown": "You save we poor single guy. UP UP UP"
    },
    {
      "id": 554027,
      "postDate": "2019-06-16T20:44:46.150Z",
      "content": "<p>Thanks! Was just looking for a 256x256 resize.</p>",
      "rawMarkdown": "Thanks! Was just looking for a 256x256 resize."
    },
    {
      "id": 556277,
      "postDate": "2019-06-20T04:18:19.600Z",
      "rawMarkdown": "",
      "votes": 1,
      "isDeleted": true
    },
    {
      "id": 621186,
      "postDate": "2019-09-08T09:39:47.830Z",
      "content": "<p>Nice kernels, thanks for sharing 👍 </p>",
      "rawMarkdown": "Nice kernels, thanks for sharing 👍 "
    },
    {
      "id": 564880,
      "postDate": "2019-06-30T05:49:44.923Z",
      "content": "<p>Thank You</p>",
      "rawMarkdown": "Thank You"
    },
    {
      "id": 561090,
      "postDate": "2019-06-26T05:43:41.273Z",
      "content": "<p>Thank you</p>",
      "rawMarkdown": "Thank you"
    },
    {
      "id": 560292,
      "postDate": "2019-06-25T09:05:25.847Z",
      "content": "<p>thanks</p>",
      "rawMarkdown": "thanks"
    },
    {
      "id": 550992,
      "postDate": "2019-06-12T07:59:23.717Z",
      "content": "<p>thanks :)</p>",
      "rawMarkdown": "thanks :)"
    }
  ],
  "comments": [
    {
      "id": 564216,
      "author_name": "Clive Moses Fernandes",
      "author_url": "",
      "post_date": "2019-06-29T06:32:25.167000",
      "content": "<p>thanks man, but i wanted to know  if i can use this dataset in colab . how to do it</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 560881,
      "author_name": "alexdefrutos",
      "author_url": "",
      "post_date": "2019-06-25T22:24:53.150000",
      "content": "<p>Thx!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 554904,
      "author_name": "Arthur Zhou",
      "author_url": "",
      "post_date": "2019-06-18T06:59:23.047000",
      "content": "<p>You save we poor single guy. UP UP UP</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 554027,
      "author_name": "Yunski",
      "author_url": "",
      "post_date": "2019-06-16T20:44:46.150000",
      "content": "<p>Thanks! Was just looking for a 256x256 resize.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 556277,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-06-20T04:18:19.600000",
      "content": "",
      "votes": 1,
      "replies": []
    },
    {
      "id": 621186,
      "author_name": "Lorenzo De Tomasi",
      "author_url": "",
      "post_date": "2019-09-08T09:39:47.830000",
      "content": "<p>Nice kernels, thanks for sharing 👍 </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 564880,
      "author_name": "dexter6855",
      "author_url": "",
      "post_date": "2019-06-30T05:49:44.923000",
      "content": "<p>Thank You</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 561090,
      "author_name": "Felipe Ferreira",
      "author_url": "",
      "post_date": "2019-06-26T05:43:41.273000",
      "content": "<p>Thank you</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 560292,
      "author_name": "跟着丞相割麦子",
      "author_url": "",
      "post_date": "2019-06-25T09:05:25.847000",
      "content": "<p>thanks</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 550992,
      "author_name": "Minchul Shin",
      "author_url": "",
      "post_date": "2019-06-12T07:59:23.717000",
      "content": "<p>thanks :)</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "546634": "The biggest problem for these competitions seems to be the massive datasets. So I went and made a dataset with 1/6 of the images at squished down to 256x256 \n\n[You can find it here](https://www.kaggle.com/mindtrinket/google-2019-30k-train/)\n\nI hope this helps some people start out!",
    "564216": "thanks man, but i wanted to know  if i can use this dataset in colab . how to do it",
    "560881": "Thx!",
    "554904": "You save we poor single guy. UP UP UP",
    "554027": "Thanks! Was just looking for a 256x256 resize.",
    "556277": "",
    "621186": "Nice kernels, thanks for sharing 👍 ",
    "564880": "Thank You",
    "561090": "Thank you",
    "560292": "thanks",
    "550992": "thanks :)"
  }
}