Labelbox is committed to collaborating and partnering with professors and researchers at universities worldwide. Our goal is to inspire cutting-edge technological innovation and to find new ways of enhancing faculty research as well as the learning experience. Labelbox offers free, non-commercial use of our software for education and research purposes.
Christoph Leitner; Robert Jarolim; Bernhard Englmair; Annika Kruse
Keyou S. Mao, Tyler J. Gerczak, Jason M. Harp, Casey S. McKinney, Timothy G. Lach (2022)
Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed (2022)
Viacheslav V. Danilov, Kirill Yu. Klyshnikov, Olga M. Gerget, Anton G. Kutikhin, Vladimir I. Ganyukov (2021)
Satoru Masubuchi, Eisuke Watanabe, Yuta Seo, Shota Okazaki, et al. (2020)
Yosuke Toda, Fumio Okura, Jun Ito, Satoshi Okada, Toshinori Kinoshita, et al. (2020)
Émile Lemoine, Frédérick Dallaire, Rajeev Yadav, Rajeev Agarwal (2020)
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik (2019)
Nipun D. Nath, Amir H.Behzadan, Yalong Pi (2019)
Whether you want to use Labelbox to conduct your own research or to teach your students how to best create and manage high-quality training data, we have the right solution for you and are trusted by leading institutions.
We believe that AI has the power to transform every aspect of our lives—from healthcare to agriculture. Get access to powerful training data tools to jumpstart your research.
The global academic program is open to higher education institutions around the world as well as students currently enrolled in a higher education degree program; educational email verification is required.