The field of Intangible Cultural Heritage (ICH) preservation increasingly depends on multimodal data, ranging from motion ...

Data is often described as the fuel of artificial intelligence (AI). As AI applications continue to expand, demand for ...

Computer vision teams face an uncomfortable reality. Even as annotation costs continue to rise, research consistently shows that teams annotate far more data than they actually need. Sometimes teams ...

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 ...

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 labels ...

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 ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

Artificial intelligence (AI) machine learning is rapidly being deployed in biotech, medical, health care, and life science industries. Labeling the massive data sets needed to train the deep learning ...