Labelbox

Labelbox is a platform designed to help machine learning teams prepare training data through efficient labeling and annotation. The tool provides a central workspace where teams can upload raw data, organise labeling tasks, and manage the annotation process at scale. It caters to organisations building or improving ML models that require large volumes of accurately labeled data to train effectively. The platform addresses a common bottleneck in ML development: getting high-quality labeled datasets. Rather than juggling spreadsheets and manual processes, teams use Labelbox to assign labeling work, track progress, and maintain consistent quality standards across their datasets. It supports various data types including images, text, video, and audio, making it applicable across different ML use cases.