What features should businesses look for in annotation tools?

[Dataqix]

When selecting data annotation software, businesses should consider the type of data they need to label and the complexity of their projects. Useful features may include image and text labeling tools, collaboration options, quality-control workflows, user permissions, data security, and export capabilities. Support for different annotation formats can also be important when datasets need to work with particular machine learning frameworks. For larger projects, automation-assisted labeling, review workflows, progress tracking, and integration capabilities can help teams manage annotation tasks more efficiently while maintaining consistent labeling standards.