{
  "id": 175825,
  "title": "1st Place Best Model & Inference Code Released!",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/175825",
  "author_name": "",
  "post_date": "2020-08-19T14:35:35.457587Z",
  "votes": 26,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Notebook: <a href=\"https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer\" target=\"_blank\">https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer</a></p>\n<p>Some of our friends want to try our trained models on their own moles ;) So we decide to publish this kernel.</p>\n<h2>Usage</h2>\n<ul>\n<li>Take some pictures on your moles by your phone or camera.</li>\n<li>Upload it to Kaggle Datasets (remember to make it private)</li>\n<li>Fork the kernel</li>\n<li>Add your uploaded dataset</li>\n<li>Modify <code>Predict</code> Section to predict on your own pictures!</li>\n</ul>\n<p>Thanks!</p>",
  "messages": [
    {
      "id": "977528",
      "postDate": "08/19/2020 14:35:35",
      "content": "<p>Notebook: <a href=\"https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer\" target=\"_blank\">https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer</a></p>\n<p>Some of our friends want to try our trained models on their own moles ;) So we decide to publish this kernel.</p>\n<h2>Usage</h2>\n<ul>\n<li>Take some pictures on your moles by your phone or camera.</li>\n<li>Upload it to Kaggle Datasets (remember to make it private)</li>\n<li>Fork the kernel</li>\n<li>Add your uploaded dataset</li>\n<li>Modify <code>Predict</code> Section to predict on your own pictures!</li>\n</ul>\n<p>Thanks!</p>",
      "rawMarkdown": "Notebook: https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer\n\nSome of our friends want to try our trained models on their own moles ;) So we decide to publish this kernel.\n\n## Usage\n\n* Take some pictures on your moles by your phone or camera.\n* Upload it to Kaggle Datasets (remember to make it private)\n* Fork the kernel\n* Add your uploaded dataset\n* Modify `Predict` Section to predict on your own pictures!\n\n\nThanks!",
      "votes": null
    },
    {
      "id": "977764",
      "postDate": "08/19/2020 17:35:46",
      "content": "<p>Congratulations on winning! In one of the topics I would like to see a demo version of the model for practical purposes.</p>",
      "rawMarkdown": "Congratulations on winning! In one of the topics I would like to see a demo version of the model for practical purposes.",
      "votes": null
    },
    {
      "id": "979427",
      "postDate": "08/20/2020 20:39:11",
      "content": "<p>Thanks for sharing.</p>",
      "rawMarkdown": "Thanks for sharing.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 977764,
      "author_name": "ladanova",
      "author_url": "",
      "post_date": "08/19/2020 17:35:46",
      "content": "<p>Congratulations on winning! In one of the topics I would like to see a demo version of the model for practical purposes.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 979427,
      "author_name": "raoofnaushad",
      "author_url": "",
      "post_date": "08/20/2020 20:39:11",
      "content": "<p>Thanks for sharing.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "977528": "Notebook: https://www.kaggle.com/haqishen/1st-place-soluiton-best-model-infer\n\nSome of our friends want to try our trained models on their own moles ;) So we decide to publish this kernel.\n\n## Usage\n\n* Take some pictures on your moles by your phone or camera.\n* Upload it to Kaggle Datasets (remember to make it private)\n* Fork the kernel\n* Add your uploaded dataset\n* Modify `Predict` Section to predict on your own pictures!\n\n\nThanks!",
    "977764": "Congratulations on winning! In one of the topics I would like to see a demo version of the model for practical purposes.",
    "979427": "Thanks for sharing."
  },
  "source": "meta"
}