Collaborate on Labeling

Creating a dataset for machine learning involves more than just labeling images; it requires a comprehensive process encompassing image collection, storage, organization, selection, assignment, labeling, and review. Roboflow facilitates this process with collaborative features that enable teams to efficiently divide and manage labeling tasks. The platform allows users to assign specific labeling jobs, provide detailed instructions, and monitor progress through a labeling jobs board that offers an overview of current tasks. Team members are notified of assignments, and the platform supports a review mode where labeled images can be approved, rejected, or sent back for revisions. These features aim to streamline the dataset creation process, ensuring consistency and efficiency in labeling work, whether for small or large teams.