{
  "id": 21847,
  "title": "Time goes fast for beginners",
  "url": "/competitions/state-farm-distracted-driver-detection/discussion/21847",
  "author_name": "",
  "post_date": "2016-06-22T19:47:35.273Z",
  "votes": null,
  "comment_count": 3,
  "views": 1066,
  "content": "<p>Dear Experts</p>\n\n<p>Time goes over for beginner people like my case .\nThe scripts posted her is very advanced to be understood \nBy beginners .\nI want to start how I extract information from the image help me in Identifying to which group the Image belong e.g.: C0,C1,C2....etc</p>\n\n<p>I don't want from you the solution</p>\n\n<p>but I want useful materiel to read it In R</p>\n\n<p>I have one here : <a href=\"https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf\">https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf</a></p>\n\n<p>But I think it is far behind for this competition(State farm) .</p>\n\n<p>I think the main step corners  stone scenario is :</p>\n\n<p>Draw each of the 9 Cases (C0....Cn) as hand draw \nFor face movement or arm e.g hold mobile with 9 templates for each of \nThe 9 cases then compare the test image with each \nOf the 9 draw template and register the similarity \nDegree for each case at the end the algorithm will\nTake the maximum number of the similarity degree for the \nCurrent image and do the same for the next image on \nThe test images group.</p>\n\n<p>That's what I m think , any one please can help me and\nOther beginners who use (R) language to start our \nCoding ? Is that very difficult guys to help us ?</p>\n\n<p>Appreciate your help for all of kagglers.</p>",
  "messages": [
    {
      "id": "124859",
      "postDate": "06/22/2016 19:47:35",
      "content": "<p>Dear Experts</p>\n\n<p>Time goes over for beginner people like my case .\nThe scripts posted her is very advanced to be understood \nBy beginners .\nI want to start how I extract information from the image help me in Identifying to which group the Image belong e.g.: C0,C1,C2....etc</p>\n\n<p>I don't want from you the solution</p>\n\n<p>but I want useful materiel to read it In R</p>\n\n<p>I have one here : <a href=\"https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf\">https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf</a></p>\n\n<p>But I think it is far behind for this competition(State farm) .</p>\n\n<p>I think the main step corners  stone scenario is :</p>\n\n<p>Draw each of the 9 Cases (C0....Cn) as hand draw \nFor face movement or arm e.g hold mobile with 9 templates for each of \nThe 9 cases then compare the test image with each \nOf the 9 draw template and register the similarity \nDegree for each case at the end the algorithm will\nTake the maximum number of the similarity degree for the \nCurrent image and do the same for the next image on \nThe test images group.</p>\n\n<p>That's what I m think , any one please can help me and\nOther beginners who use (R) language to start our \nCoding ? Is that very difficult guys to help us ?</p>\n\n<p>Appreciate your help for all of kagglers.</p>",
      "rawMarkdown": "Dear Experts\r\n\r\nTime goes over for beginner people like my case .\r\nThe scripts posted her is very advanced to be understood \r\nBy beginners .\r\nI want to start how I extract information from the image help me in Identifying to which group the Image belong e.g.: C0,C1,C2....etc\r\n\r\nI don't want from you the solution\r\n\r\nbut I want useful materiel to read it In R\r\n\r\nI have one here : https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf\r\n\r\nBut I think it is far behind for this competition(State farm) .\r\n\r\nI think the main step corners  stone scenario is :\r\n\r\nDraw each of the 9 Cases (C0....Cn) as hand draw \r\nFor face movement or arm e.g hold mobile with 9 templates for each of \r\nThe 9 cases then compare the test image with each \r\nOf the 9 draw template and register the similarity \r\nDegree for each case at the end the algorithm will\r\nTake the maximum number of the similarity degree for the \r\nCurrent image and do the same for the next image on \r\nThe test images group.\r\n\r\nThat's what I m think , any one please can help me and\r\nOther beginners who use (R) language to start our \r\nCoding ? Is that very difficult guys to help us ?\r\n\r\nAppreciate your help for all of kagglers.",
      "votes": null
    },
    {
      "id": "125116",
      "postDate": "06/26/2016 12:40:41",
      "content": "<p>Hi Mohammad,</p>\n\n<p>[quote=MohammadAbdullah;124859]\nBut I think it is far behind for this competition(State farm) .\n[/quote]</p>\n\n<p>You are right !\nThis Documentation is only about basic image processing.<br>\nComputer Vision or Image Recognition techniques are also needed for this competition.</p>",
      "rawMarkdown": "Hi Mohammad,\r\n\r\n[quote=MohammadAbdullah;124859]\r\nBut I think it is far behind for this competition(State farm) .\r\n[/quote]\r\n\r\nYou are right !\r\nThis Documentation is only about basic image processing.<br>\r\nComputer Vision or Image Recognition techniques are also needed for this competition.",
      "votes": null
    },
    {
      "id": "125150",
      "postDate": "06/26/2016 20:35:03",
      "content": "<p>Is there any expert in Kaggle can guide us ?</p>",
      "rawMarkdown": "Is there any expert in Kaggle can guide us ?",
      "votes": null
    },
    {
      "id": "125439",
      "postDate": "06/29/2016 13:04:09",
      "content": "<p>With the assumption that you have no prior experience with Computer Vision, at first, you will need to learn Machine Learning and Computer Vision and some of the most popular algorithms like CNN, RNN, boosting etc and then participate in a competition. Only image processing is not enough for such a competition. Please take a look at the Machine Learning course by Andrew Ng <a href=\"https://www.coursera.org/learn/machine-learning\">https://www.coursera.org/learn/machine-learning</a> </p>\n\n<p>And then the following course to dive deeper into Neural Networks.\n<a href=\"http://cs231n.stanford.edu/\">http://cs231n.stanford.edu/</a></p>\n\n<p>After this, you should be able to work on small projects, possibly start with kaggle's begginer level competitions.</p>\n\n<p>Best Regards,\nAli Raza</p>",
      "rawMarkdown": "With the assumption that you have no prior experience with Computer Vision, at first, you will need to learn Machine Learning and Computer Vision and some of the most popular algorithms like CNN, RNN, boosting etc and then participate in a competition. Only image processing is not enough for such a competition. Please take a look at the Machine Learning course by Andrew Ng https://www.coursera.org/learn/machine-learning \n\nAnd then the following course to dive deeper into Neural Networks.\nhttp://cs231n.stanford.edu/\n\nAfter this, you should be able to work on small projects, possibly start with kaggle's begginer level competitions.\n\nBest Regards,\nAli Raza",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 125116,
      "author_name": "toshik",
      "author_url": "",
      "post_date": "06/26/2016 12:40:41",
      "content": "<p>Hi Mohammad,</p>\n\n<p>[quote=MohammadAbdullah;124859]\nBut I think it is far behind for this competition(State farm) .\n[/quote]</p>\n\n<p>You are right !\nThis Documentation is only about basic image processing.<br>\nComputer Vision or Image Recognition techniques are also needed for this competition.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 125150,
      "author_name": "maabdullah47",
      "author_url": "",
      "post_date": "06/26/2016 20:35:03",
      "content": "<p>Is there any expert in Kaggle can guide us ?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 125439,
      "author_name": "alirazanisar",
      "author_url": "",
      "post_date": "06/29/2016 13:04:09",
      "content": "<p>With the assumption that you have no prior experience with Computer Vision, at first, you will need to learn Machine Learning and Computer Vision and some of the most popular algorithms like CNN, RNN, boosting etc and then participate in a competition. Only image processing is not enough for such a competition. Please take a look at the Machine Learning course by Andrew Ng <a href=\"https://www.coursera.org/learn/machine-learning\">https://www.coursera.org/learn/machine-learning</a> </p>\n\n<p>And then the following course to dive deeper into Neural Networks.\n<a href=\"http://cs231n.stanford.edu/\">http://cs231n.stanford.edu/</a></p>\n\n<p>After this, you should be able to work on small projects, possibly start with kaggle's begginer level competitions.</p>\n\n<p>Best Regards,\nAli Raza</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "124859": "Dear Experts\r\n\r\nTime goes over for beginner people like my case .\r\nThe scripts posted her is very advanced to be understood \r\nBy beginners .\r\nI want to start how I extract information from the image help me in Identifying to which group the Image belong e.g.: C0,C1,C2....etc\r\n\r\nI don't want from you the solution\r\n\r\nbut I want useful materiel to read it In R\r\n\r\nI have one here : https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf\r\n\r\nBut I think it is far behind for this competition(State farm) .\r\n\r\nI think the main step corners  stone scenario is :\r\n\r\nDraw each of the 9 Cases (C0....Cn) as hand draw \r\nFor face movement or arm e.g hold mobile with 9 templates for each of \r\nThe 9 cases then compare the test image with each \r\nOf the 9 draw template and register the similarity \r\nDegree for each case at the end the algorithm will\r\nTake the maximum number of the similarity degree for the \r\nCurrent image and do the same for the next image on \r\nThe test images group.\r\n\r\nThat's what I m think , any one please can help me and\r\nOther beginners who use (R) language to start our \r\nCoding ? Is that very difficult guys to help us ?\r\n\r\nAppreciate your help for all of kagglers.",
    "125116": "Hi Mohammad,\r\n\r\n[quote=MohammadAbdullah;124859]\r\nBut I think it is far behind for this competition(State farm) .\r\n[/quote]\r\n\r\nYou are right !\r\nThis Documentation is only about basic image processing.<br>\r\nComputer Vision or Image Recognition techniques are also needed for this competition.",
    "125150": "Is there any expert in Kaggle can guide us ?",
    "125439": "With the assumption that you have no prior experience with Computer Vision, at first, you will need to learn Machine Learning and Computer Vision and some of the most popular algorithms like CNN, RNN, boosting etc and then participate in a competition. Only image processing is not enough for such a competition. Please take a look at the Machine Learning course by Andrew Ng https://www.coursera.org/learn/machine-learning \n\nAnd then the following course to dive deeper into Neural Networks.\nhttp://cs231n.stanford.edu/\n\nAfter this, you should be able to work on small projects, possibly start with kaggle's begginer level competitions.\n\nBest Regards,\nAli Raza"
  },
  "source": "meta"
}