Speaking of artificial intelligence, many people think it is very high-end and has a sense of distance. But did you know that artificial intelligence has already been used in all areas of our daily lives? To give a small example, when you use beauty or when shopping in an unmanned supermarket, you are already enjoying the fruits of artificial intelligence.
The reason why artificial intelligence can bring so much convenience to our lives is because there are a large number of functions behind it. Among the many functions, data annotation can be said to be useful Must-have!
So, what exactly is data annotation? Why does data annotation have such a big effect on artificial intelligence? Today, the university master will uncover the mystery of data annotation for you.
data marked , is simply make a mark for text, voice, images, video, etc. , So that the algorithm can understand these marks, continue to learn, and finally achieve the effect of intelligence.
For people who are new to data labeling, the above explanation may be a bit cryptic and esoteric. In order to help everyone better understand data labeling, the university made the following metaphor.
We can compare the initial artificial intelligence software to a newborn baby who knows nothing, so we need to teach him to understand the things around him, tell him that this is the nose and is used for breathing; tell This is his mouth, which is used to talk and eat. The same is true for artificial intelligence, we need to provide the machine with pictures of the nose and mouth, and point out the nose and mouth in the picture, and then the machine can learn the characteristics of the nose and mouth in the picture and make an annotation. Know it.
If you still find it complicated to compare with babies, let me give you a real example.
The attendance fingerprint punching machine for commuting to and from get off work is certainly familiar to everyone, and the principle of artificial intelligence is similar. When we use the punch card machine, we will first input the employee's fingerprint, and then set the employee's name or number corresponding to the fingerprint. After the machine is confirmed, the employee will be able to recognize it by inputting the fingerprint in the future. This is the simplest principle of artificial intelligence. Strong16strong first inputs information, then the machine recognizes the information, and then outputs it.
Of course,Actual data labeling is mostly much more complicated than fingerprint input, but it is basically not beyond the level that ordinary people can understand and master, but some data labeling work also requires training to be done. This is because different things are different in different scenes and the light is different, so artificial intelligence needs to see pictures of various types and states of things, which requires a large amount of basic data, that is, different scenes of this thing. picture of.
The responsibility of data labeling lies in , which will provide artificial intelligence in a large number of pictures, find out the target things in different scenes, and use them as training data for artificial intelligence to practice cognition .
In recent years, the Chinese government has attached great importance to the technological advancement and industrial development of artificial intelligence. Strong16strong has now risen to the national strategy of artificial intelligence. mentioned in the Standing Committee of the National People's Congress that it is necessary to strengthen the research of legislative theory, and attach importance to the research on legal issues related to new technologies and new fields such as artificial intelligence, blockchain, and gene editing.
There is a popular saying in the data labeling industry-"There are as many humans as is ". With the rapid development of the artificial intelligence industry, the demand and number of the new profession of data annotators as "artificial intelligence teachers" will definitely increase.
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