{ "id": 226250, "title": "Top Solutions from Similar Competition", "url": "/competitions/plant-pathology-2021-fgvc8/discussion/226250", "author_name": "", "post_date": "2021-03-15T19:12:13.975254800Z", "votes": 14, "comment_count": 2, "views": 0, "content": "

Hi fellow Kagglers,
\nJust recently Kaggle hosted a similar competition, although on a much larger scale. I think it might be helpful for people to have an inspiration to start the competition.
\nThus I am attaching the links for the solutions of the same and some other useful resources:-

\n

SOLUTIONS to FIRST Competition

\n
    \n
  1. 1st Place Solution
    2. \n
  2. 2nd Place Solution
    3. \n
  3. 3rd Place Solution
    4. \n
\n

SOLUTIONS to SECOND Competition

\n
    \n
  1. 1st Place Solution
    2. \n
  2. 2nd Place Solution
    3. \n
  3. 3rd Place Solution
    4. \n
\n

OTHER RESOURCES

\n
    \n
  1. Google's Tensorflow Hub Model
    2. \n
  2. Deep Learning for Image-Based Cassava Disease Detection
    3. \n
  3. Supervised Contrastive Learning for Cassava Leaf Disease Classification
    4. \n
  4. A predictive machine learning application in agriculture
    5. \n
", "messages": [ { "id": "1239508", "postDate": "03/15/2021 19:12:13", "content": "

Hi fellow Kagglers,
\nJust recently Kaggle hosted a similar competition, although on a much larger scale. I think it might be helpful for people to have an inspiration to start the competition.
\nThus I am attaching the links for the solutions of the same and some other useful resources:-

\n

SOLUTIONS to FIRST Competition

\n
    \n
  1. 1st Place Solution
    2. \n
  2. 2nd Place Solution
    3. \n
  3. 3rd Place Solution
    4. \n
\n

SOLUTIONS to SECOND Competition

\n
    \n
  1. 1st Place Solution
    2. \n
  2. 2nd Place Solution
    3. \n
  3. 3rd Place Solution
    4. \n
\n

OTHER RESOURCES

\n
    \n
  1. Google's Tensorflow Hub Model
    2. \n
  2. Deep Learning for Image-Based Cassava Disease Detection
    3. \n
  3. Supervised Contrastive Learning for Cassava Leaf Disease Classification
    4. \n
  4. A predictive machine learning application in agriculture
    5. \n
", "rawMarkdown": "Hi fellow Kagglers,\nJust recently Kaggle hosted a [similar competition](https://www.kaggle.com/c/cassava-leaf-disease-classification), although on a much larger scale. I think it might be helpful for people to have an inspiration to start the competition.\nThus I am attaching the links for the solutions of the same and some other useful resources:-\n\n**SOLUTIONS to FIRST Competition**\n1. [1st Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94114)\n2. [2nd Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94112)\n3. [3rd Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94102)\n\n**SOLUTIONS to SECOND Competition**\n1. [1st Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/221957)\n2. [2nd Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/220898)\n3. [3rd Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/221150)\n\n**OTHER RESOURCES**\n1. [Google's Tensorflow Hub Model](https://www.tensorflow.org/hub/tutorials/cropnet_cassava)\n2. [Deep Learning for Image-Based Cassava Disease Detection](https://www.frontiersin.org/articles/10.3389/fpls.2017.01852/full)\n3. [Supervised Contrastive Learning for Cassava Leaf Disease Classification](https://towardsai.net/p/deep-learning/supervised-contrastive-learning-for-cassava-leaf-disease-classification-9dd47779a966)\n4. [A predictive machine learning application in agriculture](https://www.sciencedirect.com/science/article/pii/S1110866520301110)", "votes": null }, { "id": "1246893", "postDate": "03/21/2021 08:07:49", "content": "

well done
\nkeep going

", "rawMarkdown": "well done\nkeep going", "votes": null }, { "id": "1249063", "postDate": "03/23/2021 04:22:19", "content": "

Happy to help! 😊

", "rawMarkdown": "Happy to help! 😊", "votes": null } ], "comments": [ { "id": 1246893, "author_name": "mohamedmeqlad", "author_url": "", "post_date": "03/21/2021 08:07:49", "content": "

well done
\nkeep going

", "votes": null, "replies": [ { "id": 1249063, "author_name": "manabendrarout", "author_url": "", "post_date": "03/23/2021 04:22:19", "content": "

Happy to help! 😊

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1239508": "Hi fellow Kagglers,\nJust recently Kaggle hosted a [similar competition](https://www.kaggle.com/c/cassava-leaf-disease-classification), although on a much larger scale. I think it might be helpful for people to have an inspiration to start the competition.\nThus I am attaching the links for the solutions of the same and some other useful resources:-\n\n**SOLUTIONS to FIRST Competition**\n1. [1st Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94114)\n2. [2nd Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94112)\n3. [3rd Place Solution](https://www.kaggle.com/c/cassava-disease/discussion/94102)\n\n**SOLUTIONS to SECOND Competition**\n1. [1st Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/221957)\n2. [2nd Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/220898)\n3. [3rd Place Solution](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/221150)\n\n**OTHER RESOURCES**\n1. [Google's Tensorflow Hub Model](https://www.tensorflow.org/hub/tutorials/cropnet_cassava)\n2. [Deep Learning for Image-Based Cassava Disease Detection](https://www.frontiersin.org/articles/10.3389/fpls.2017.01852/full)\n3. [Supervised Contrastive Learning for Cassava Leaf Disease Classification](https://towardsai.net/p/deep-learning/supervised-contrastive-learning-for-cassava-leaf-disease-classification-9dd47779a966)\n4. [A predictive machine learning application in agriculture](https://www.sciencedirect.com/science/article/pii/S1110866520301110)", "1246893": "well done\nkeep going", "1249063": "Happy to help! 😊" }, "source": "meta" }