Data annotation refers to the process of adding labels to original data (such as images, videos, texts, audios and 3D point clouds). Data with labels is called training data. These labels form the shape of the data to which the data belongs. The representation of which type of object helps the machine learning model accurately identify the content of the data when it encounters never-before-seen data in the future. ?
The current mainstream machine learning method is mainly supervised deep learning, which has strong dependence on annotated data. The original data that has not been annotated and processed is mostly unstructured data. , these data are difficult to be recognized and learned by machines. Only structured data that has been annotated can be used for algorithm model training.
The main types of data annotation are image annotation, voice annotation, 3D point cloud annotation and text annotation.
In the development process of artificial intelligence, data has always been regarded as its "blood". Data annotation is a key link for the effective operation of artificial intelligence algorithms. If you want to realize artificial intelligence, you must first let the computer learn to understand and have the ability to judge things. The process of data labeling is to provide a large number of learning samples for the machine system through manual labeling. Data labeling is to label the data that needs to be recognized and distinguished by the machine, and then allow the computer to continuously learn the characteristics of these data, and ultimately realize that the computer can autonomously Identify.
As a professional Al data annotation company, Jinglianwen Technology is committed to promoting the construction of data resource standard systems and providing high-quality services from the aspects of data production, data management platform, data asset market circulation, and data resource planning. The data elements provide services.
Currently, we have four large-scale data processing bases in Fanguo across the country, with more than 1,000 professional artificial intelligence data trainers. We have developed a mature intelligent data annotation platform, covering annotation workbench and production capacity management system, and have obtained It has obtained ISO9001 international quality management certification, ISO27001 international information security management certification, and ISO27701 international privacy security management certification, providing complete digital processing capabilities in all fields of voice, image, text, and video. Deliver high-quality AI data for algorithm models in various fields such as smart driving, smart cities, smart homes, smart finance, smart education, smart security, and new retail.
It has successively won the honors of "National High-tech Enterprise", Hangzhou "Qinglan Plan" enterprise, Hangzhou "Weiying Plan" enterprise, etc. It is also a member of the Internet Financial Identity Authentication Alliance and the National Beacon Committee. Members of the Biometric Identification Subcommittee, members of the Artificial Intelligence Subcommittee of the National Beacon Committee, members of the Zhejiang Provincial Artificial Intelligence Industry Alliance, and Zhejiang Provincial Urban Brain Industry Alliance need to define the annotation methods and rules according to specific needs when labeling data, and Develop labeling specifications to ensure labeling quality and uniformity. At the same time, artificial intelligence technology can also be used to assist in data annotation to improve efficiency and accuracy.
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