![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2779868%2F7802074ff42d5ba1539edd93fd2d70e1%2FScreenshot%20from%202019-08-17%2022-38-19.png?generation=1566074519659658&alt=media\")
I read some material from @raspstephan , like this post at Medium Sugar, Flower, Fish or Gravel — Now a Kaggle competition where you can read more about this project.
\n\n\n\n\nThis competition is the culmination of literally hundreds of hours of human labor from dozens of scientists. The challenge is to segment satellite images into one of four classes. Typically, when we think about different cloud types we think of cumulus, stratus and cirrus. The four classes in this challenge, however, are called Sugar, Flower, Fish and Gravel. So, what the heck are those?
\n \nPart of what makes this project interesting is that the labels are subjective. One person’s Sugar might be another person’s Gravel. In other words, there is no objective truth
\n
Also you can check his website (more information): https://raspstephan.github.io/research/sugar-flower-fish-gravel/#
\n\nPresentation: Sugar, Flower, Fish or Gravel - Cloud classificationfrom humans to machines at UCP2019 - Understanding Clouds and Precipitation
\n\n\n\nIn the website zooniverse you can find more information about the project, but also see how the people classify the pictures! (remember, in this comp the labels are subjective)\n
In this link you can collaborate and classify picture, it's really nice.\nAnd of course, check the info from NASA
\n\n
\nBtw, @raspstephan and kaggle, thanks for this new comp :)
Good luck!
", "messages": [ { "id": 601581, "postDate": "2019-08-17T20:44:55.740Z", "content": "I read some material from @raspstephan , like this post at Medium Sugar, Flower, Fish or Gravel — Now a Kaggle competition where you can read more about this project.
\n\n\n\n\nThis competition is the culmination of literally hundreds of hours of human labor from dozens of scientists. The challenge is to segment satellite images into one of four classes. Typically, when we think about different cloud types we think of cumulus, stratus and cirrus. The four classes in this challenge, however, are called Sugar, Flower, Fish and Gravel. So, what the heck are those?
\n \nPart of what makes this project interesting is that the labels are subjective. One person’s Sugar might be another person’s Gravel. In other words, there is no objective truth
\n
Also you can check his website (more information): https://raspstephan.github.io/research/sugar-flower-fish-gravel/#
\n\nPresentation: Sugar, Flower, Fish or Gravel - Cloud classificationfrom humans to machines at UCP2019 - Understanding Clouds and Precipitation
\n\n\n\nIn the website zooniverse you can find more information about the project, but also see how the people classify the pictures! (remember, in this comp the labels are subjective)\n
In this link you can collaborate and classify picture, it's really nice.\nAnd of course, check the info from NASA
\n\n
\nBtw, @raspstephan and kaggle, thanks for this new comp :)
Good luck!
", "rawMarkdown": "### Understanding Clouds from Satellite Images\n\nI read some material from @raspstephan , like this post at Medium [Sugar, Flower, Fish or Gravel — Now a Kaggle competition](https://medium.com/@raspstephan/sugar-flower-fish-or-gravel-now-a-kaggle-competition-8d2b6b3b118) where you can read more about this project.\n\n> This competition is the culmination of literally hundreds of hours of human labor from dozens of scientists. The challenge is to segment satellite images into one of four classes. Typically, when we think about different cloud types we think of cumulus, stratus and cirrus. The four classes in this challenge, however, are called Sugar, Flower, Fish and Gravel. So, what the heck are those?\n\n> Part of what makes this project interesting is that the labels are subjective. One person’s Sugar might be another person’s Gravel. In other words, there is no objective truth\n\nThank you so much for collecting all this information! I am glad you find our competition interesting. \nLet me also say that Hauke Schulz did a lot of the work leading up to the competition, so let's thank him as well :)
", "rawMarkdown": "Thank you so much for collecting all this information! I am glad you find our competition interesting. \nLet me also say that [Hauke Schulz](https://www.mpimet.mpg.de/en/staff/hauke-schulz/) did a lot of the work leading up to the competition, so let's thank him as well :)", "votes": 4 }, { "id": 635362, "postDate": "2019-09-27T12:37:10.770Z", "content": "Thanks for this, please can I get a follow back thanks.
", "rawMarkdown": "Thanks for this, please can I get a follow back thanks.", "votes": -3 }, { "id": 606118, "postDate": "2019-08-23T08:02:03.550Z", "content": "Thanks a lot for this!\nGreat content to get a better understanding of what the labels actually and how they are chosen.
", "rawMarkdown": "Thanks a lot for this!\nGreat content to get a better understanding of what the labels actually and how they are chosen." }, { "id": 602050, "postDate": "2019-08-18T13:56:36.880Z", "content": "Awesome resource, was just searching for it
", "rawMarkdown": "Awesome resource, was just searching for it" }, { "id": 601900, "postDate": "2019-08-18T10:25:27.347Z", "rawMarkdown": "", "isDeleted": true }, { "id": 601623, "postDate": "2019-08-17T22:56:38.950Z", "content": "Awesome quite helpfull, thank you
", "rawMarkdown": "Awesome quite helpfull, thank you", "votes": 1 }, { "id": 625707, "postDate": "2019-09-13T10:57:51.480Z", "content": "thank you!
", "rawMarkdown": "thank you!" } ], "comments": [ { "id": 601665, "author_name": "Stephan Rasp", "author_url": "", "post_date": "2019-08-18T02:04:38.187000", "content": "Thank you so much for collecting all this information! I am glad you find our competition interesting. \nLet me also say that Hauke Schulz did a lot of the work leading up to the competition, so let's thank him as well :)
", "votes": 4, "replies": [] }, { "id": 635362, "author_name": "Glory Isaiah", "author_url": "", "post_date": "2019-09-27T12:37:10.770000", "content": "Thanks for this, please can I get a follow back thanks.
", "votes": -3, "replies": [] }, { "id": 606118, "author_name": "Maxime Lenormand", "author_url": "", "post_date": "2019-08-23T08:02:03.550000", "content": "Thanks a lot for this!\nGreat content to get a better understanding of what the labels actually and how they are chosen.
", "votes": 0, "replies": [] }, { "id": 602050, "author_name": "Rupesh Parab", "author_url": "", "post_date": "2019-08-18T13:56:36.880000", "content": "Awesome resource, was just searching for it
", "votes": 0, "replies": [] }, { "id": 601900, "author_name": "", "author_url": "", "post_date": "2019-08-18T10:25:27.347000", "content": "", "votes": 0, "replies": [] }, { "id": 601623, "author_name": "Utkarsh Chandra Srivastava", "author_url": "", "post_date": "2019-08-17T22:56:38.950000", "content": "Awesome quite helpfull, thank you
", "votes": 1, "replies": [] }, { "id": 625707, "author_name": "Krishna Katyal", "author_url": "", "post_date": "2019-09-13T10:57:51.480000", "content": "thank you!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "601581": "### Understanding Clouds from Satellite Images\n\nI read some material from @raspstephan , like this post at Medium [Sugar, Flower, Fish or Gravel — Now a Kaggle competition](https://medium.com/@raspstephan/sugar-flower-fish-or-gravel-now-a-kaggle-competition-8d2b6b3b118) where you can read more about this project.\n\n> This competition is the culmination of literally hundreds of hours of human labor from dozens of scientists. The challenge is to segment satellite images into one of four classes. Typically, when we think about different cloud types we think of cumulus, stratus and cirrus. The four classes in this challenge, however, are called Sugar, Flower, Fish and Gravel. So, what the heck are those?\n\n> Part of what makes this project interesting is that the labels are subjective. One person’s Sugar might be another person’s Gravel. In other words, there is no objective truth\n\n