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Data Collection

Human face interaction and pattern recognition technology for face recognition, expression recognition, vehicle recognition, gesture recognition and machine vision, etc., can provide various types of graphics, image data, and sound data collection.

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Data annotation

According to the needs of customers, all kinds of data are marked, identified and classified, and semantically segmented. To meet the needs of customers.

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Algorithm evaluation

To solve the same problem, it is often possible to write many different algorithms. The purpose of algorithm evaluation is to select a suitable one from different algorithms to solve the same problem, and also to know how to improve the existing algorithm, so that it is possible to design a better algorithm.

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Data store

A variety of trading platforms for collecting, labeling, and voice data. Meet customers' needs in a fast, simple and convenient way.

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