Welcome to the Open Images Object Detection RVC 2020 edition!
\n\nThis year the Open Images Object Detection competition is a part of the larger Robust Vision Challenge 2020. This challenge encourages the participants to develop robust computer vision algorithms able to perform well across multiple datasets. For more information about Robust Vision Challenge please visit RVC2020 website.
\n\nWe also welcome submissions from everyone who is willing to compare their algorithms against baselines developed in previous competitions as well as RVC 2020 baselines.
\n\nMore information about the Open Images Challenge is available on Open Images Challenge website.
\n\nGood luck!
", "messages": [ { "id": 863406, "postDate": "2020-05-27T09:54:25.023Z", "content": "Hi @akuznetsa \nAre we supposed to download the OI Dataset by ourselves and create a kaggle dataset then?
", "rawMarkdown": "Hi @akuznetsa \nAre we supposed to download the OI Dataset by ourselves and create a kaggle dataset then?", "replies": [ { "id": 864218, "postDate": "2020-05-27T21:43:20.310Z", "content": "The dataset is only available via the links shared on the Data page and not shared directly via Kaggle. You're welcome to download using any of those methods and work with it locally or via your own choice of method.
", "rawMarkdown": "The dataset is only available via the links shared on the [Data page](https://www.kaggle.com/c/open-images-object-detection-rvc-2020/data) and not shared directly via Kaggle. You're welcome to download using any of those methods and work with it locally or via your own choice of method. ", "votes": 3 }, { "id": 864253, "postDate": "2020-05-27T22:53:00.187Z", "rawMarkdown": "", "isDeleted": true } ] }, { "id": 854148, "postDate": "2020-05-19T19:43:05.743Z", "content": "Welcome to the Open Images Object Detection RVC 2020 edition!
\n\nThis year the Open Images Object Detection competition is a part of the larger Robust Vision Challenge 2020. This challenge encourages the participants to develop robust computer vision algorithms able to perform well across multiple datasets. For more information about Robust Vision Challenge please visit RVC2020 website.
\n\nWe also welcome submissions from everyone who is willing to compare their algorithms against baselines developed in previous competitions as well as RVC 2020 baselines.
\n\nMore information about the Open Images Challenge is available on Open Images Challenge website.
\n\nGood luck!
", "rawMarkdown": "Welcome to the Open Images Object Detection RVC 2020 edition!\n\nThis year the Open Images Object Detection competition is a part of the larger [Robust Vision Challenge 2020](http://www.robustvision.net/leaderboard.php?benchmark=object). This challenge encourages the participants to develop robust computer vision algorithms able to perform well across multiple datasets. For more information about Robust Vision Challenge please visit [RVC2020 website](http://www.robustvision.net/).\n\nWe also welcome submissions from everyone who is willing to compare their algorithms against baselines developed in previous competitions as well as RVC 2020 baselines.\n\nMore information about the Open Images Challenge is available on [Open Images Challenge website](https://storage.googleapis.com/openimages/web/challenge_overview.html).\n\n- For Open Images related questions as well as questions about this challenge please contact us at oid-challenge-contact@google.com\n- For Robust Vision Challenge related question please also use the following contact rvc2020eccvw@gmail.com\n\nGood luck!" } ], "comments": [ { "id": 863406, "author_name": "Roman Weilguny", "author_url": "", "post_date": "2020-05-27T09:54:25.023000", "content": "Hi @akuznetsa \nAre we supposed to download the OI Dataset by ourselves and create a kaggle dataset then?
", "votes": 0, "replies": [ { "id": 864218, "author_name": "Julia Elliott", "author_url": "", "post_date": "2020-05-27T21:43:20.310000", "content": "The dataset is only available via the links shared on the Data page and not shared directly via Kaggle. You're welcome to download using any of those methods and work with it locally or via your own choice of method.
", "votes": 3, "replies": [] }, { "id": 864253, "author_name": "", "author_url": "", "post_date": "2020-05-27T22:53:00.187000", "content": "", "votes": 0, "replies": [] } ] } ], "raw_markdown_by_id": { "863406": "Hi @akuznetsa \nAre we supposed to download the OI Dataset by ourselves and create a kaggle dataset then?", "854148": "Welcome to the Open Images Object Detection RVC 2020 edition!\n\nThis year the Open Images Object Detection competition is a part of the larger [Robust Vision Challenge 2020](http://www.robustvision.net/leaderboard.php?benchmark=object). This challenge encourages the participants to develop robust computer vision algorithms able to perform well across multiple datasets. For more information about Robust Vision Challenge please visit [RVC2020 website](http://www.robustvision.net/).\n\nWe also welcome submissions from everyone who is willing to compare their algorithms against baselines developed in previous competitions as well as RVC 2020 baselines.\n\nMore information about the Open Images Challenge is available on [Open Images Challenge website](https://storage.googleapis.com/openimages/web/challenge_overview.html).\n\n- For Open Images related questions as well as questions about this challenge please contact us at oid-challenge-contact@google.com\n- For Robust Vision Challenge related question please also use the following contact rvc2020eccvw@gmail.com\n\nGood luck!" } }