Annotation workflow: From raw data to AI-ready insights

The world is filled with raw data, but raw data is of no value by itself. No matter whether you want to use that data to find diseases, to make your autonomous systems run, or for smart retail, that data must be put through a robust annotation workflow to properly leverage the data. This process – taking the data from non-structured files and getting it ready for insights used for AI is the heart of all the capabilities shared by data annotation companies, data labeling companies, and image annotation services, particularly within the growing ecosystem of computer vision companies in India.

Big Picture – Why We Care about Annotation

The data annotation tools market will reach a higher amount by 2030. For example, in India, the data annotation market was around USD 80.9 million in 2023 and is expected to jump to USD 492.4 million by 2030 (Grand View Research ...