Huge Demand for Data Annotation Tools
The Global Data Annotation Tools market accounted for US$ 695.5 million in 2017 and is projected to reach US$ 6450.0 million by 2027; it is expected to grow at a CAGR of 32.54% from 2020 to 2027.
The process of data annotation includes labeling of data which makes it usable for machine learning. Data annotation tools are an important tool for data scientists as they make use of the labelled data with machine learning algorithms. Data can be in any form such as images (from cars, phones, or medical instruments), text (in English, Spanish, Chinese, or any other language), audio and video. There are different types of annotation techniques like polygon annotation, semantic segmentation, bounding box annotation, landmark annotation, polylines annotation and 3D point cloud annotation.
The applications of data annotation continue to grow strongly across the globe. Face detection and recognition is one of the major application of data annotation. Countries across the globe are implementing various facial technology to create social status and award penalties for public menace to its citizens. For instance, China has installed 200 million surveillance cameras, one camera for every seven of its citizens. It plans to install about 400 million new cameras by 2021 in the country. The cameras are installed for security and traffic control purposes.
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