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 ...

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 ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

China has issued new guidelines to steer the high-quality development of its data annotation industry in the next two years, marking a critical step in fostering the high-quality growth of data ...

Figure 1: In-browser 3D annotation of axons and dendrites for connectomics. We thus conclude that annotators can be trained to trace cortical axons at 1.51 ± 0.04 mm/h in flight mode without a ...