{
  "id": 369418,
  "title": "New to Computer Vision!",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/369418",
  "author_name": "Sahil Rajpal",
  "post_date": "2022-11-30T06:31:49.667000",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi all! I am a complete beginner in Computer Vision and am excited to participate in my first Kaggle prize competition.</p>\n<p>Like everyone out here, I want to make the most out of this comp.<br>\nWhat are the best places and resources to learn about Computer Vision, preferably in PyTorch?</p>\n<p>Cheers!</p>",
  "messages": [
    {
      "id": 2049430,
      "postDate": "2022-11-30T06:31:49.667Z",
      "content": "<p>Hi all! I am a complete beginner in Computer Vision and am excited to participate in my first Kaggle prize competition.</p>\n<p>Like everyone out here, I want to make the most out of this comp.<br>\nWhat are the best places and resources to learn about Computer Vision, preferably in PyTorch?</p>\n<p>Cheers!</p>",
      "rawMarkdown": "Hi all! I am a complete beginner in Computer Vision and am excited to participate in my first Kaggle prize competition.\n\nLike everyone out here, I want to make the most out of this comp.\nWhat are the best places and resources to learn about Computer Vision, preferably in PyTorch?\n\nCheers!",
      "votes": 4
    },
    {
      "id": 2050981,
      "postDate": "2022-12-01T06:12:31.330Z",
      "content": "<p>hey <a href=\"https://www.kaggle.com/sahilrajpal121\" target=\"_blank\">@sahilrajpal121</a>!</p>\n<p>Welcome to the fascinating world of CV! 👋 And thank you for posting this question 🙂 It led to writing an answer here: <a href=\"https://www.kaggle.com/competitions/rsna-breast-cancer-detection/discussion/369706\" target=\"_blank\">3 resources to get started with Computer Vision in this competition 🚀🚀🚀</a></p>\n<p>Maybe you will find it useful! 🙂</p>\n<p>If you have any questions, fire them away 🙂 Maybe I (or someone else) will be able to answer!</p>\n<p>Best of luck in the competition!<br>\nRadek</p>",
      "rawMarkdown": "hey @sahilrajpal121!\n\nWelcome to the fascinating world of CV! 👋 And thank you for posting this question 🙂 It led to writing an answer here: [3 resources to get started with Computer Vision in this competition 🚀🚀🚀](https://www.kaggle.com/competitions/rsna-breast-cancer-detection/discussion/369706)\n\nMaybe you will find it useful! 🙂\n\nIf you have any questions, fire them away 🙂 Maybe I (or someone else) will be able to answer!\n\nBest of luck in the competition!\nRadek",
      "votes": 2
    },
    {
      "id": 2051009,
      "postDate": "2022-12-01T06:34:28.417Z",
      "content": "<p>For the Computer Vision Books : <a href=\"https://www.kaggle.com/discussions/general/347442\" target=\"_blank\">https://www.kaggle.com/discussions/general/347442</a> <br>\nYouTube Tutorials : <a href=\"https://www.kaggle.com/discussions/getting-started/349639\" target=\"_blank\">https://www.kaggle.com/discussions/getting-started/349639</a> <br>\nCourses : <a href=\"https://www.kaggle.com/discussions/getting-started/368418\" target=\"_blank\">https://www.kaggle.com/discussions/getting-started/368418</a><br>\nGood Luck <a href=\"https://www.kaggle.com/sahilrajpal121\" target=\"_blank\">@sahilrajpal121</a>  </p>",
      "rawMarkdown": "For the Computer Vision Books : https://www.kaggle.com/discussions/general/347442 \nYouTube Tutorials : https://www.kaggle.com/discussions/getting-started/349639 \nCourses : https://www.kaggle.com/discussions/getting-started/368418\nGood Luck @sahilrajpal121  "
    },
    {
      "id": 2050112,
      "postDate": "2022-11-30T14:31:25.637Z",
      "content": "<p>Hi Sahil Rajpal,</p>\n<p>I don't know \"the best\" places. Though on Kaggle you could make searchs by Dataset, then choose Computer vision.<br>\nYou could read the Notebooks that users have already done and maybe you could try some of them.</p>\n<p>Searching by code, you could write Pytorch and check the Notebooks with that framework or any subject that you want to learn.</p>\n<p>Competitions search: write computer vision to find the Competitions with that subject </p>\n<p>Kaggle has a Computer Vision course:<br>\n<a href=\"https://www.kaggle.com/learn/computer-vision\" target=\"_blank\">https://www.kaggle.com/learn/computer-vision</a></p>\n<p>And David Roberts, that voted for your topic has a lot of experience on Computer Vision. Take a look on his computer vision previous code.</p>\n<p>That's already a good start.  i hope it could help you.</p>\n<p>Best regards, <br>\nMarília </p>",
      "rawMarkdown": "Hi Sahil Rajpal,\n\nI don't know \"the best\" places. Though on Kaggle you could make searchs by Dataset, then choose Computer vision.\nYou could read the Notebooks that users have already done and maybe you could try some of them.\n\nSearching by code, you could write Pytorch and check the Notebooks with that framework or any subject that you want to learn.\n\nCompetitions search: write computer vision to find the Competitions with that subject \n\nKaggle has a Computer Vision course:\nhttps://www.kaggle.com/learn/computer-vision\n\n And David Roberts, that voted for your topic has a lot of experience on Computer Vision. Take a look on his computer vision previous code.\n\nThat's already a good start.  i hope it could help you.\n\nBest regards, \nMarília \n "
    }
  ],
  "comments": [
    {
      "id": 2050981,
      "author_name": "Radek Osmulski",
      "author_url": "",
      "post_date": "2022-12-01T06:12:31.330000",
      "content": "<p>hey <a href=\"https://www.kaggle.com/sahilrajpal121\" target=\"_blank\">@sahilrajpal121</a>!</p>\n<p>Welcome to the fascinating world of CV! 👋 And thank you for posting this question 🙂 It led to writing an answer here: <a href=\"https://www.kaggle.com/competitions/rsna-breast-cancer-detection/discussion/369706\" target=\"_blank\">3 resources to get started with Computer Vision in this competition 🚀🚀🚀</a></p>\n<p>Maybe you will find it useful! 🙂</p>\n<p>If you have any questions, fire them away 🙂 Maybe I (or someone else) will be able to answer!</p>\n<p>Best of luck in the competition!<br>\nRadek</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 2051009,
      "author_name": "K Kiran",
      "author_url": "",
      "post_date": "2022-12-01T06:34:28.417000",
      "content": "<p>For the Computer Vision Books : <a href=\"https://www.kaggle.com/discussions/general/347442\" target=\"_blank\">https://www.kaggle.com/discussions/general/347442</a> <br>\nYouTube Tutorials : <a href=\"https://www.kaggle.com/discussions/getting-started/349639\" target=\"_blank\">https://www.kaggle.com/discussions/getting-started/349639</a> <br>\nCourses : <a href=\"https://www.kaggle.com/discussions/getting-started/368418\" target=\"_blank\">https://www.kaggle.com/discussions/getting-started/368418</a><br>\nGood Luck <a href=\"https://www.kaggle.com/sahilrajpal121\" target=\"_blank\">@sahilrajpal121</a>  </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2050112,
      "author_name": "Marília Prata",
      "author_url": "",
      "post_date": "2022-11-30T14:31:25.637000",
      "content": "<p>Hi Sahil Rajpal,</p>\n<p>I don't know \"the best\" places. Though on Kaggle you could make searchs by Dataset, then choose Computer vision.<br>\nYou could read the Notebooks that users have already done and maybe you could try some of them.</p>\n<p>Searching by code, you could write Pytorch and check the Notebooks with that framework or any subject that you want to learn.</p>\n<p>Competitions search: write computer vision to find the Competitions with that subject </p>\n<p>Kaggle has a Computer Vision course:<br>\n<a href=\"https://www.kaggle.com/learn/computer-vision\" target=\"_blank\">https://www.kaggle.com/learn/computer-vision</a></p>\n<p>And David Roberts, that voted for your topic has a lot of experience on Computer Vision. Take a look on his computer vision previous code.</p>\n<p>That's already a good start.  i hope it could help you.</p>\n<p>Best regards, <br>\nMarília </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2049430": "Hi all! I am a complete beginner in Computer Vision and am excited to participate in my first Kaggle prize competition.\n\nLike everyone out here, I want to make the most out of this comp.\nWhat are the best places and resources to learn about Computer Vision, preferably in PyTorch?\n\nCheers!",
    "2050981": "hey @sahilrajpal121!\n\nWelcome to the fascinating world of CV! 👋 And thank you for posting this question 🙂 It led to writing an answer here: [3 resources to get started with Computer Vision in this competition 🚀🚀🚀](https://www.kaggle.com/competitions/rsna-breast-cancer-detection/discussion/369706)\n\nMaybe you will find it useful! 🙂\n\nIf you have any questions, fire them away 🙂 Maybe I (or someone else) will be able to answer!\n\nBest of luck in the competition!\nRadek",
    "2051009": "For the Computer Vision Books : https://www.kaggle.com/discussions/general/347442 \nYouTube Tutorials : https://www.kaggle.com/discussions/getting-started/349639 \nCourses : https://www.kaggle.com/discussions/getting-started/368418\nGood Luck @sahilrajpal121  ",
    "2050112": "Hi Sahil Rajpal,\n\nI don't know \"the best\" places. Though on Kaggle you could make searchs by Dataset, then choose Computer vision.\nYou could read the Notebooks that users have already done and maybe you could try some of them.\n\nSearching by code, you could write Pytorch and check the Notebooks with that framework or any subject that you want to learn.\n\nCompetitions search: write computer vision to find the Competitions with that subject \n\nKaggle has a Computer Vision course:\nhttps://www.kaggle.com/learn/computer-vision\n\n And David Roberts, that voted for your topic has a lot of experience on Computer Vision. Take a look on his computer vision previous code.\n\nThat's already a good start.  i hope it could help you.\n\nBest regards, \nMarília \n "
  }
}