Labelbox•June 16, 2022
How Deque uses data prioritization and model diagnostics to unlock AI breakthroughs in digital accessibility
Deque has developed a sophisticated data engine that’s capable of prioritizing the most performant classes of data, discovering model errors quickly, and fueling their iterations with high-quality data.
Labelbox•September 3, 2021
New study finds that non-expert labeling teams can create high quality training data for medical use cases
Imperial College London’s BioMedIA research group and the iFind Project set out to challenge the assumption that only those medical training can provide quality annotations for clinical deep learning models.
Labelbox•February 15, 2021
American University of Beirut takes on dietary behavior research with ML
Researchers at the American University of Beirut have embarked on a project International Development Research Centre (IDRC) to build two machine learning models that classify images of food taken by wearable cameras.