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 ...

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

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.

Annotations, usually text labeling the meaning or parts of the data these systems ingest, are a key piece in these examples.

By utilizing AI tools such as LlamaParse, Docklin, and Mistral OCR, businesses can convert chaotic unstructured data into valuable insights. These tools support a variety of file formats and ...

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.