Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

As machine learning has grown, one of the major bottlenecks remains labeling things so the machine learning application understands the data it’s working with. Datasaur, a member of the Y Combinator ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More HumanSignal, the firm behind the widely used open source Label Studio for ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

The heavy reliance that companies place on manual processes and disparate labeling systems is more times than not at the route of product recalls. In 2018 alone, labeling issues made up 9% of all ...

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 ...

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. Snorkel AI wants to make it easier for subject matter ...

Traditional labeling-development techniques can put a drain on manufacturers’ resources — and that’s before a decision is made on which information is needed and will fit on the label. Electronic ...

The next time you pick up a packaged food item off a supermarket shelf, notice the maze of nutrition facts, ingredient lists, regulatory symbols, and tiny disclaimers. What is invisible are the weeks ...