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 ...

Before we dive deeper, let’s answer the question: what is data annotation? Data annotation helps us to label data for its further usage by ML models. With labeled data, machines can better understand ...

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 ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

Artificial intelligence (AI) has made significant strides in recent years, largely due to one crucial ingredient: data. Among the myriad types of data available, human-annotated data stands apart for ...

XAI tapped a recent high school graduate to lead its data annotation team. Diego Pasini began leading the team in early September amid leadership changes and deep layoffs. Pasini's LinkedIn says he's ...

The pancreas and tumor are represented by the colors orange and green, respectively. Given the weak label, we expand it to a lesion marker (teal green) and background markers (red). We then utilize ...