High-quality labeled data is critically important for training supervised learning models. It provides the context necessary for building quality models that will make accurate predictions.

Data labelers have worked in San Mateo, California and Buffalo, New York. He described this as critical to improving the quality of Tesla’s data. The company built a team of more than 1,000 ...

NEW YORK, Aug. 11, 2020 /CNW/ -- Clarifai, a leading independent artificial intelligence (AI) company, announces Clarifai Labeler (https://www.cla ...

As the authors of a 2021 paper in Frontiers in Radiology note, it takes human labelers as long as 24 years’ worth of work to label a data set of about 100,000 images. Another 2021 position ...

Similarly, the AI startup Handl uses labeled data to more accurately convert documents to structured text. We’ve all heard of OCR (Object Character Recognition), but with AI-powered by labeled ...