Welcome to the Airbus Ship Detection Challenge!
\n\nFor this competition, you are tasked to locating ship locations from satellite images. You'll want to familiarize yourself with the competition metric, the file descriptions on the Data tab=, and the concept of \"run length encoding\" if you are not familiar with it. You can use this notebook to get started with decoding masks.
\n\nhttps://www.kaggle.com/inversion/run-length-decoding-quick-start/notebook
\n\nIn addition to the regular prizes, this competition will have a special prize. More details about this prize will be provided in approximately 2 weeks.
\n\nWe'll start a separate thread in a few days for domain-specific questions about the data and business objective. In the meantime, please feel free to ask your questions in this thread.
\n\nGood luck!
", "messages": [ { "id": 364104, "postDate": "2018-07-30T18:46:11.670Z", "content": "Welcome to the Airbus Ship Detection Challenge!
\n\nFor this competition, you are tasked to locating ship locations from satellite images. You'll want to familiarize yourself with the competition metric, the file descriptions on the Data tab=, and the concept of \"run length encoding\" if you are not familiar with it. You can use this notebook to get started with decoding masks.
\n\nhttps://www.kaggle.com/inversion/run-length-decoding-quick-start/notebook
\n\nIn addition to the regular prizes, this competition will have a special prize. More details about this prize will be provided in approximately 2 weeks.
\n\nWe'll start a separate thread in a few days for domain-specific questions about the data and business objective. In the meantime, please feel free to ask your questions in this thread.
\n\nGood luck!
", "rawMarkdown": "Welcome to the Airbus Ship Detection Challenge!\n\nFor this competition, you are tasked to locating ship locations from satellite images. You'll want to familiarize yourself with the competition metric, the file descriptions on the Data tab=, and the concept of \"run length encoding\" if you are not familiar with it. You can use this notebook to get started with decoding masks.\n\nhttps://www.kaggle.com/inversion/run-length-decoding-quick-start/notebook\n\nIn addition to the regular prizes, this competition will have a special prize. More details about this prize will be provided in approximately 2 weeks.\n\nWe'll start a separate thread in a few days for domain-specific questions about the data and business objective. In the meantime, please feel free to ask your questions in this thread.\n\nGood luck!", "votes": 6 }, { "id": 368635, "postDate": "2018-08-10T10:37:45.820Z", "content": "The notebook helped me a lot :-) Thank you
", "rawMarkdown": "The notebook helped me a lot :-) Thank you", "votes": 1 }, { "id": 1706805, "postDate": "2022-02-27T20:24:47.577Z", "content": "@inversion
\nCould you kindly tell me on which ship size (small-medium-large) was the evaluation performed?
\nIs there away to get the test set?
\nIt seems that the test set contains large number of large ships.Isn't it?
\nThanks in advance
Is there any RLE starter in R coding? I tried to figure out the RLE format, but each time I get wrong locations.
", "rawMarkdown": "Is there any RLE starter in R coding? I tried to figure out the RLE format, but each time I get wrong locations." }, { "id": 370869, "postDate": "2018-08-15T15:25:27.770Z", "content": "Is there any information about the scale of the images? I.e. how big is each pixel in meters?
", "rawMarkdown": "Is there any information about the scale of the images? I.e. how big is each pixel in meters? ", "replies": [ { "id": 371174, "postDate": "2018-08-16T06:25:54.870Z", "content": "More or less 1.5m
", "rawMarkdown": "More or less 1.5m" } ] }, { "id": 371684, "postDate": "2018-08-17T12:15:06.793Z", "rawMarkdown": "", "isDeleted": true }, { "id": 364134, "postDate": "2018-07-30T20:24:50.783Z", "content": "The Notebook was useful! Thanks :)
", "rawMarkdown": "The Notebook was useful! Thanks :)", "votes": 1 }, { "id": 1361187, "postDate": "2021-06-22T16:26:56.407Z", "content": "Thank you! It helps me a lot!
", "rawMarkdown": "Thank you! It helps me a lot!" } ], "comments": [ { "id": 368635, "author_name": "StefanHartmann", "author_url": "", "post_date": "2018-08-10T10:37:45.820000", "content": "The notebook helped me a lot :-) Thank you
", "votes": 1, "replies": [] }, { "id": 1706805, "author_name": "Fatma Mazen", "author_url": "", "post_date": "2022-02-27T20:24:47.577000", "content": "@inversion
\nCould you kindly tell me on which ship size (small-medium-large) was the evaluation performed?
\nIs there away to get the test set?
\nIt seems that the test set contains large number of large ships.Isn't it?
\nThanks in advance
Is there any RLE starter in R coding? I tried to figure out the RLE format, but each time I get wrong locations.
", "votes": 0, "replies": [] }, { "id": 370869, "author_name": "Harald", "author_url": "", "post_date": "2018-08-15T15:25:27.770000", "content": "Is there any information about the scale of the images? I.e. how big is each pixel in meters?
", "votes": 0, "replies": [ { "id": 371174, "author_name": "Alexis Letulier", "author_url": "", "post_date": "2018-08-16T06:25:54.870000", "content": "More or less 1.5m
", "votes": 0, "replies": [] } ] }, { "id": 371684, "author_name": "", "author_url": "", "post_date": "2018-08-17T12:15:06.793000", "content": "", "votes": 0, "replies": [] }, { "id": 364134, "author_name": "ShreyasFadnavis", "author_url": "", "post_date": "2018-07-30T20:24:50.783000", "content": "The Notebook was useful! Thanks :)
", "votes": 1, "replies": [] }, { "id": 1361187, "author_name": "namtran", "author_url": "", "post_date": "2021-06-22T16:26:56.407000", "content": "Thank you! It helps me a lot!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "364104": "Welcome to the Airbus Ship Detection Challenge!\n\nFor this competition, you are tasked to locating ship locations from satellite images. You'll want to familiarize yourself with the competition metric, the file descriptions on the Data tab=, and the concept of \"run length encoding\" if you are not familiar with it. You can use this notebook to get started with decoding masks.\n\nhttps://www.kaggle.com/inversion/run-length-decoding-quick-start/notebook\n\nIn addition to the regular prizes, this competition will have a special prize. More details about this prize will be provided in approximately 2 weeks.\n\nWe'll start a separate thread in a few days for domain-specific questions about the data and business objective. In the meantime, please feel free to ask your questions in this thread.\n\nGood luck!", "368635": "The notebook helped me a lot :-) Thank you", "1706805": "@inversion \nCould you kindly tell me on which ship size (small-medium-large) was the evaluation performed?\nIs there away to get the test set?\nIt seems that the test set contains large number of large ships.Isn't it?\nThanks in advance", "372410": "Is there any RLE starter in R coding? I tried to figure out the RLE format, but each time I get wrong locations.", "370869": "Is there any information about the scale of the images? I.e. how big is each pixel in meters? ", "371684": "", "364134": "The Notebook was useful! Thanks :)", "1361187": "Thank you! It helps me a lot!" } }