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[N] xBD Building Damage Dataset (+550k Annotations/+19k sq km) Available for Download (https://xview2.org/dataset)

[N] xBD Building Damage Dataset (+550k Annotations/+19k sq km) Available for Download (https://xview2.org/dataset)

https://i.redd.it/hbjt6bvh4ln31.png

The competition xBD dataset, annotated satellite imagery pre and post natural disasters for the xView2 Competition is now available for download here (upon e-mail registration):

https://xview2.org/dataset

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/DigitalGlobe’s Open Data Program.

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:

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

or you can visit our website: xview2.org.

submitted by /u/nirav_diu
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.