Data annotation is like giving labels to raw data so machines can understand it. Just like we use sticky notes to organise our thoughts, machines need labels to make sense of the world. These ...

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.

As the backbone of AI growth, data annotation has emerged as a promising profession, with over 90 percent of the workforce in this sector being data annotators.

Data annotation may appear simple at first glance, but it’s far more intricate than it seems. Here are the main challenges you face during data annotation projects.

As artificial intelligence evolves, data annotation—or the work done by humans to train AI models—has emerged as a potential way to make money.

Dataloop, a startup developing data annotation tools for AI and machine learning tasks, has raised $16 million across two funding rounds.