{
  "id": 153590,
  "title": "project submission",
  "url": "/competitions/global-wheat-detection/discussion/153590",
  "author_name": "",
  "post_date": "2020-05-25T14:02:52.972525300Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello everyone,\nThis is my first project on Kaggle!</p>\n\n<p>Guys, I have implemented a model for Wheat Detection in my Local system but i am having some problems.</p>\n\n<p>I used <a href=\"https://github.com/tensorflow/models/tree/master/research\">tensorflow-models</a> for training.( especially[slim and object_detection])</p>\n\n<p>Now, How can i submit all these files to Kaggle, I am not able to upload this models to my kernel.</p>\n\n<p>Can someone please suggest me what to do?\nThanks. </p>",
  "messages": [
    {
      "id": "860667",
      "postDate": "05/25/2020 14:02:52",
      "content": "<p>Hello everyone,\nThis is my first project on Kaggle!</p>\n\n<p>Guys, I have implemented a model for Wheat Detection in my Local system but i am having some problems.</p>\n\n<p>I used <a href=\"https://github.com/tensorflow/models/tree/master/research\">tensorflow-models</a> for training.( especially[slim and object_detection])</p>\n\n<p>Now, How can i submit all these files to Kaggle, I am not able to upload this models to my kernel.</p>\n\n<p>Can someone please suggest me what to do?\nThanks. </p>",
      "rawMarkdown": "Hello everyone,\nThis is my first project on Kaggle!\n \nGuys, I have implemented a model for Wheat Detection in my Local system but i am having some problems.\n\nI used [tensorflow-models](https://github.com/tensorflow/models/tree/master/research) for training.( especially[slim and object_detection])\n\nNow, How can i submit all these files to Kaggle, I am not able to upload this models to my kernel.\n\nCan someone please suggest me what to do?\nThanks.",
      "votes": null
    },
    {
      "id": "938552",
      "postDate": "07/21/2020 15:49:43",
      "content": "<p>One option is to create a database in the kaggle section, you can upload all teh files there and then add the data as input.</p>\n\n<p>Another option is to upload the files in the cloud, for example dropbox and then  download it using a command.</p>\n\n<p>!wget \"your sharing url\"</p>\n\n<p>This will begin downloadgin the file and you will find it in the output.</p>",
      "rawMarkdown": "One option is to create a database in the kaggle section, you can upload all teh files there and then add the data as input.\n\nAnother option is to upload the files in the cloud, for example dropbox and then  download it using a command.\n\n!wget \"your sharing url\"\n\nThis will begin downloadgin the file and you will find it in the output.",
      "votes": null
    },
    {
      "id": "938631",
      "postDate": "07/21/2020 16:37:17",
      "content": "<p>Just note that your submission kernel can’t have internet enabled, so to utilize your model for submission you must upload it as a Kaggle dataset.</p>",
      "rawMarkdown": "Just note that your submission kernel can’t have internet enabled, so to utilize your model for submission you must upload it as a Kaggle dataset.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 938552,
      "author_name": "luisvivas",
      "author_url": "",
      "post_date": "07/21/2020 15:49:43",
      "content": "<p>One option is to create a database in the kaggle section, you can upload all teh files there and then add the data as input.</p>\n\n<p>Another option is to upload the files in the cloud, for example dropbox and then  download it using a command.</p>\n\n<p>!wget \"your sharing url\"</p>\n\n<p>This will begin downloadgin the file and you will find it in the output.</p>",
      "votes": null,
      "replies": [
        {
          "id": 938631,
          "author_name": "matthewmasters",
          "author_url": "",
          "post_date": "07/21/2020 16:37:17",
          "content": "<p>Just note that your submission kernel can’t have internet enabled, so to utilize your model for submission you must upload it as a Kaggle dataset.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "860667": "Hello everyone,\nThis is my first project on Kaggle!\n \nGuys, I have implemented a model for Wheat Detection in my Local system but i am having some problems.\n\nI used [tensorflow-models](https://github.com/tensorflow/models/tree/master/research) for training.( especially[slim and object_detection])\n\nNow, How can i submit all these files to Kaggle, I am not able to upload this models to my kernel.\n\nCan someone please suggest me what to do?\nThanks.",
    "938552": "One option is to create a database in the kaggle section, you can upload all teh files there and then add the data as input.\n\nAnother option is to upload the files in the cloud, for example dropbox and then  download it using a command.\n\n!wget \"your sharing url\"\n\nThis will begin downloadgin the file and you will find it in the output.",
    "938631": "Just note that your submission kernel can’t have internet enabled, so to utilize your model for submission you must upload it as a Kaggle dataset."
  },
  "source": "meta"
}