{
  "id": 312008,
  "title": "STEP 2 - Find Numbers - NO MODEL REQUIRED 😄",
  "url": "/competitions/ultra-mnist/discussion/312008",
  "author_name": "",
  "post_date": "2022-03-09T23:52:02.866621400Z",
  "votes": 10,
  "comment_count": 2,
  "views": 0,
  "content": "<p>After STEP 0 - EDA, end STEP 1 - problem simplification … I decided to take STEP 2 - find numbers without annotating … model creation etc. etc. just using computer vision techniques (image processing). Hope you can find this helpfull and you save a lot of time.</p>\n<p>Notebook here: <a href=\"https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required\" target=\"_blank\">https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required</a></p>\n<p><img src=\"https://i.ibb.co/w44cdZK/aaa.png\" alt=\"flow\"></p>\n<p>STEP 3 - MNIST CLASSIFIER</p>",
  "messages": [
    {
      "id": "1717441",
      "postDate": "03/09/2022 23:52:02",
      "content": "<p>After STEP 0 - EDA, end STEP 1 - problem simplification … I decided to take STEP 2 - find numbers without annotating … model creation etc. etc. just using computer vision techniques (image processing). Hope you can find this helpfull and you save a lot of time.</p>\n<p>Notebook here: <a href=\"https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required\" target=\"_blank\">https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required</a></p>\n<p><img src=\"https://i.ibb.co/w44cdZK/aaa.png\" alt=\"flow\"></p>\n<p>STEP 3 - MNIST CLASSIFIER</p>",
      "rawMarkdown": "After STEP 0 - EDA, end STEP 1 - problem simplification ... I decided to take STEP 2 - find numbers without annotating ... model creation etc. etc. just using computer vision techniques (image processing). Hope you can find this helpfull and you save a lot of time.\n\nNotebook here: https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required\n\n![flow](https://i.ibb.co/w44cdZK/aaa.png)\n\nSTEP 3 - MNIST CLASSIFIER",
      "votes": null
    },
    {
      "id": "1718469",
      "postDate": "03/10/2022 21:16:22",
      "content": "<p>Now STEP 3 is ready as well. I detect numbers and … sum them :)</p>",
      "rawMarkdown": "Now STEP 3 is ready as well. I detect numbers and ... sum them :)",
      "votes": null
    },
    {
      "id": "1718678",
      "postDate": "03/11/2022 04:27:30",
      "content": "<p>Here is a potential datasets, author <a href=\"https://www.kaggle.com/ipythonx\" target=\"_blank\">@ipythonx</a> </p>\n<p><a href=\"https://www.kaggle.com/ipythonx/mnist-in-cv\" target=\"_blank\">MNIST in CV</a></p>",
      "rawMarkdown": "Here is a potential datasets, author @ipythonx \n\n[MNIST in CV](https://www.kaggle.com/ipythonx/mnist-in-cv)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1718469,
      "author_name": "remekkinas",
      "author_url": "",
      "post_date": "03/10/2022 21:16:22",
      "content": "<p>Now STEP 3 is ready as well. I detect numbers and … sum them :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1718678,
      "author_name": "simonalerdic",
      "author_url": "",
      "post_date": "03/11/2022 04:27:30",
      "content": "<p>Here is a potential datasets, author <a href=\"https://www.kaggle.com/ipythonx\" target=\"_blank\">@ipythonx</a> </p>\n<p><a href=\"https://www.kaggle.com/ipythonx/mnist-in-cv\" target=\"_blank\">MNIST in CV</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1717441": "After STEP 0 - EDA, end STEP 1 - problem simplification ... I decided to take STEP 2 - find numbers without annotating ... model creation etc. etc. just using computer vision techniques (image processing). Hope you can find this helpfull and you save a lot of time.\n\nNotebook here: https://www.kaggle.com/remekkinas/step-2-find-numbers-no-model-required\n\n![flow](https://i.ibb.co/w44cdZK/aaa.png)\n\nSTEP 3 - MNIST CLASSIFIER",
    "1718469": "Now STEP 3 is ready as well. I detect numbers and ... sum them :)",
    "1718678": "Here is a potential datasets, author @ipythonx \n\n[MNIST in CV](https://www.kaggle.com/ipythonx/mnist-in-cv)"
  },
  "source": "meta"
}