Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

LightTag, a newly launched startup from a former NLP researcher at Citi, has built a “text annotation platform” designed to assist data scientists who need to quickly create training data for their AI ...

AI data management and annotation startup Dataloop today announced it has raised $16 million in funding through an $11 million series A round and a previously undisclosed $5 million seed round. A ...

Take advantage of data annotations to decorate your models using attribute tags so that your application’s data definition can be managed in a single place. Data annotations (available as part of the ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...