There is room for more development.
After all, human cognition has always been some distance ahead of machine intelligence. Current AI is not yet qualified for the work of data annotators. Machine learning relies on human "feeding", and the "delicious food" that fills the machine requires the annotators to cook it.
The market demand for the development prospects of the data annotation industry is still very huge. Entry-level positions in AI can be transferred to other AI positions in the future.
Summarize more work skills and accumulate more experience at work.
Annotators annotate data.
Because for artificial intelligence companies, 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 scientificity reflected behind the data.
Only by being able to analyze, develop and utilize data, create new value from it, and achieve practical application results can the value of data be realized, and data annotation is the process of embodying the value of data.
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Eaters), online sparring, drone pilots, etc.
In recent years, due to the emergence of artificial intelligence, a new profession of data annotators has emerged.
Data annotation is the foundation of the artificial intelligence industry and the starting point for machines to perceive the real world.
To put it simply, data annotation is a behavior of artificial intelligence learning data processing through data annotators using annotation tools.
There are many types of data annotations, such as categories, frames, labels, etc.
To a certain extent, data without annotation is useless data.
The machine can know what the object is by labeling some characteristics of the object through the data.