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AWS Partners with Mapillary to Support the Large-Scale Scene Understanding Challenge at CVPR 2017

by Joseph Spisak and Peter Kontschieder | on | Permalink | Comments |  Share
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On July 26, 2017, Mapillary, Princeton University and others are hosting the Large-Scale Scene Understanding (LSUN) Challenge in conjunction with CVPR, the premier computer vision conference, in Honolulu, Hawaii. The LSUN Challenge and an associated workshop will bring computer vision researchers and practitioners together to solve problems with large-scale scene classification, scene segmentation, saliency prediction, and RGB-D detection.

Street-level image recognition is the foundation of next-generation applications, such as autonomous vehicles, delivery drones, and smart city projects. The unavailability of large-scale datasets with dense annotations is one of the biggest obstacles to making these applications a reality. In the LSUN Challenge, the world’s computer vision experts will leverage the new Mapillary Vistas dataset to help push the state-of-the-art forward.

Training, validation, and test data are already available. To register for access to the dataset, see the Mapillary Vistas Dataset site. The Challenge submission deadline is July 9, 2017.

We look forward to seeing the results and how the community leverages this new and exciting dataset! As part of the challenge, AWS will award $20,000 in prizes in the form of AWS credits. For more information about the challenge and the associated workshop, see the LSUN Challenge site.

Questions? See the semantic segmentation challenge homepage for more details.

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