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xView2 xBD Dataset Map

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The xView2 Competition’s xBD dataset has been updated.

Total dataset size has increased overall, from 550,230 total polygons to 850,736 total polygons and for total area from 19,804 square kilometers to 45,361 square kilometers.

The dataset was announced at IEEE CVPR 2019 (most up to date metrics are accurate at the website above however).

The dataset creation was led by the Defense Innovation Unit with the technical expertise of Carnegie Mellon’s Software Engineering Institute (CMU SEI), CrowdAI and the Joint Artificial Intelligence Center, with data provided by MAXAR’s Open Data Program.

Our leaderboard has also been launched on our Challenge page – you need to be logged in and click on the “Leaderboard” tab to see results and you can make submissions as well.

You can find the baseline and the metrics code on GitHub, also here is a Docker link for the baseline.

The competition submission deadline has been extended to December 31st, 2019 at 11:59PM UTC as well.

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For more info on CMU SEI’s efforts in Humanitarian Assistance and Disaster Response (focus on XView Competitions starts at ~6:26):

https://www.youtube.com/watch?v=UW5CP9YahG0

For more information on the competition (previous Reddit posts):

https://www.reddit.com/r/MachineLearning/comments/cu7vcn/n_announcing_the_xview_2_prize_challenge_assess/

https://www.reddit.com/r/MachineLearning/comments/d6hjgn/n_xbd_building_damage_dataset_550k_annotations19k/ (this post has dated information since it was the first announcement of the dataset)

or you can visit our website: xview2.org.

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Thank you,

xView2 Team