What is data annotation and what is the prospect of data annotation?

Data annotation is the key to the effective operation of most artificial intelligence algorithms. Simply put, data annotation is the process of processing unprocessed voice, pictures, texts, videos and other data, thus transforming them into machine-readable information.

The main types of data annotation are image annotation, voice annotation, 3D point cloud annotation and text annotation.

According to iResearch data, the market size of data label industry will be 3.09 billion yuan in 20 19, 3.6 billion yuan in 2020 and 1000 billion yuan in 2025, indicating that China's data label industry is in a high-speed development stage.

In addition, with the continuous maturity of artificial intelligence technology, the accuracy of scene data will be higher and higher, and the AI basic data service industry will also turn to intelligence and automation to further enhance the degree of specialization for subdivided scenes.

As a professional al data labeling company, Jinglianwen Technology is committed to promoting the construction of data resource standard system and providing high-quality data element supply services from data production, data management platform, data asset market circulation and data resource planning.

Jinglianwen Technology | Data Collection | Data Labeling

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