What are Supervisely Issues?

Data Labeling is about collaboration at scale: managers, domain experts, data scientists, inhouse labelers and dedicated external labeling teams. Hundreds of people are involved in. Also, this complicated process requires multi-stage reviewing and correction to guarantee quality. And it is hard to organize the entire process without specially designed tools.

Supervisely Issues are built in cooperation with professional labeling teams and help to:

create , organize and inspect issues on invalid images and objects.

, and issues on invalid images and objects. share , discuss , resolve them with your labeling team

, , them with your labeling team track progress and receive notifications in real-time

progress and in real-time collaborate right in annotation tool without switching interfaces back and forth

Github Issues are the perfect example of efficient collaboration between thousands of developers. We at Supervisely got best practices from Github Issues, adopted them to labeling scenarios and integrated into annotation tools by keeping well-known user interfaces.

Organize + Search + Filter

Issues has its own section in every team. There are two types of issues: private and public ones. Private issues help to discuss project-related questions and are available only for team members. Public issues are designed to keep everybody in your organization on the same page, share ideas, hear all voices, consider all options — and establish consensus.