This article covers the four data annotation tools types and uses: computer vision, natural language processing, open-source, and freeware. Read on to learn more.

Furthermore, the availability of open-source libraries, frameworks, and APIs that help in the development of customized data annotation tools has been a major factor in sustaining the growth of ...

The open source framework provides the data and training recipe for building powerful computer-use agents that challenge ...

The tool provides the data types needed for phylogenetic comparisons, functional annotations, binning of sequences, phylogenomic profiling, and metabolic reconstructions. “We are excited to see the ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the ...

Dataloop, a data annotation and labeling startup, has raised $33 million in a venture capital funding round.

Unstructured text and data are like gold for business applications and the company bottom line, but where to start? Here are three tools worth a look.