Labelbox academic program
Empowering students and universities to advance their AI ambitions
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.
Identifying chemically similar multiphase nanoprecipitates in compositionally complex non-equilibrium oxides via machine learning
Keyou S. Mao, Tyler J. Gerczak, Jason M. Harp, Casey S. McKinney, Timothy G. Lach (2022)
HyperionSolarNet: Solar Panel Detection from Aerial Images
Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed (2022)
Real-time coronary artery stenosis detection based on modern neural networks
Viacheslav V. Danilov, Kirill Yu. Klyshnikov, Olga M. Gerget, Anton G. Kutikhin, Vladimir I. Ganyukov (2021)
Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
Satoru Masubuchi, Eisuke Watanabe, Yuta Seo, Shota Okazaki, et al. (2020)
Training instance segmentation neural network with synthetic datasets for crop seed phenotyping
Yosuke Toda, Fumio Okura, Jun Ito, Satoshi Okada, Toshinori Kinoshita, et al. (2020)
Feature engineering applied to intraoperative in vivo Raman spectroscopy sheds light on molecular processes in brain cancer: a retrospective study of 65 patients
Émile Lemoine, Frédérick Dallaire, Rajeev Yadav, Rajeev Agarwal (2020)
Learning individual styles of conversational gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik (2019)
CoralSeg: Learning coral segmentation from sparse annotations
Iñigo Alonso, Matan Yuval, Gal Eyal, Tali Treibitz, Ana C. Murillo (2019)
Deep learning models for content-based retrieval of construction visual data
Nipun D. Nath, Amir H.Behzadan, Yalong Pi (2019)
StyPath: Style-transfer data augmentation for robust histology image classification
Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan Becker, Chandra Mohan, Hien Van Nguyen (2020)
CS230: Deep Learning at Stanford
CS 280 Computer Vision at UC Berkeley
ELEN 239: Introduction to Self Driving Cars at Santa Clara University
CSC350: Software Development at CUNY
Data-X at UC Berkeley
FOR PROFESSORS
Enrich your research and coursework
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.
FOR STUDENTS
Accelerate your vision
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.
Example research and use cases
Augmented surgical vision
Autonomous underwater vehicle research
Improved predictions of acute respiratory infection
Flood prevention
Energy output prediction and wind turbine detection
Labelbox is broadly used in Academia today
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.
