This task is commonly referred to as image segmentation and requires labeling tens of thousands of samples in each image. The more data you have, the better your model will be at making accurate ...

Among the most popular data labeling technologies is the open-source Label Studio, which is backed by San Francisco-based startup Heartex.The new Label Studio 1.6 update being released today will ...

The Global Data Annotation and Labelling Market is expected to reach USD 2,072.2 million in 2024 which is further projected to grow up to USD 29,584.2 million by the end of 2033, growing at a CAGR ...

Google Photos on Android has a new optional feature that lets users describe the content of their photos to improve the app’s object recognition AI. Machine learning systems need labelled data ...

Autonomous robots require the ability to perceive their environment. This must be done in a power-efficient manner to allow them to operate for an extended duration of time. Convolutional neural ...