guide
The complete guide to image segmentation
For commercial AI teams, an enormous amount of time and energy is spent on the development and curation of custom datasets. This is because, unlike academic machine learning models, the use of open-source datasets for a commercial application will not likely yield an accurate representation of the real-world.
Instead, teams rely on the constsant creation of new data sets for their applications.
Download our Complete guide to image segmentation to learn more about real-world use cases and the advantages of managing your annotation processes using a training data platform.
