Data annotation is to use automated tools to crawl and collect data from the Internet, including text, pictures, voices, etc., and then organize and label the captured data.
Data annotation is a basic work in the artificial intelligence industry, which requires a large number of data annotation specialists to engage in relevant work to meet the needs of artificial intelligence training data. However, with the continuous optimization of annotation tools in the future, annotators will reduce a lot of repetitive work with the help of intelligent auxiliary tools. In the future, purely manual annotation work that relies solely on manual labor will be greatly reduced. In contrast, the threshold for data annotation work will increase. improve.
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When marking an object, if it is marked with a frame, the most important thing to remember is that the frame is in contact with the object itself. When living, don’t stick to the edges, and don’t miss any spots.
During the annotation process, the attributes must be correct. For example, if the object attribute is a vehicle, the attributes of the vehicle must be entered, otherwise it will be easily returned when handed over to the customer.
During the annotation process, for moving objects, the frame must be shaken during the annotation process. For some customers, a shaken frame is considered a failure.
People's Daily Online - Data annotation members are an emerging profession, approaching young people in the data factory