Shulou(Shulou.com)06/03 Report--

According to relevant data, there are 100000 full-time data annotators and 1 million part-time data annotators in China.

Seeing this data, I can't help but ask what kind of industry data tagging is.

In fact, the industry appeared as early as when the first tagging company was established in 1998, but at that time artificial intelligence had not yet emerged and data applications were relatively few. It was not until 2011 that data tagging for artificial intelligence gradually appeared.

The artificial intelligence industry is inseparable from the data tagging industry. Why do you say that?

Because for artificial intelligence enterprises, high-quality data is indispensable. In other words, the real value of data does not lie in the data itself, but in the authenticity and scientificalness reflected behind the data. To be able to analyze, develop and use the data, create new value from it, and achieve practical application results can realize the value of the data, and data labeling is the process of reflecting the value of the data.

At first, because the demand for data tagging is not too much, it is basically done by the internal engineers or algorithm team of the company.

However, with the wide application and popularization of artificial intelligence and the deepening of machine learning, the demand for data is increasing day by day, so where does a large amount of data come from?

As a result, professional data annotators were created. Data annotators are equivalent to "editors" on the Internet, using some data annotation tools to classify, organize, correct and annotate a large number of text, pictures, voice, video and other data.

Any company that provides data annotation services for artificial intelligence enterprises can not do without the role of "editor". After all, human cognition has always been some distance ahead of machine intelligence, the current AI is not up to the job of data tagger, machine learning depends on human "feeding", and filling machine "delicacy" requires tagger cooking.

In the era of big data, various industries are facing new opportunities and challenges, especially in the data tagging industry, which is closely related to artificial intelligence. There are more unknowns about the data tagging industry that we need to explore.

For more information, please visit: http://www.awkvector.com/

Article Source: awakening Vector blog

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