The current mainstream machine learning method is mainly supervised deep learning method, which has a strong dependence on labeled data. So, what is data annotation? What is Data Labeling? Data annotation is the process of processing unprocessed primary data, including speech, pictures, text, video, etc. (such as identifying the gender of the speaker, judging the type … Read more
The successful implementation of Data artificial intelligence and its subsets (machine learning, deep learning, computer vision, natural language processing, speech recognition, etc.) relies on large amounts of high-quality labeled data. Work such as data collection, labeling, and validation is critical in the AI development lifecycle, so why is data annotation important? What is Data Labeling? … Read more
Are you wondering what data labeling datasets is and what it can do for you? Are you considering annotated datasets for your AI and machine learning projects? Would you like to learn more about data labeling, the benefits it can bring to your projects, and how to integrate it into your machine learning workflow? Machine learning … Read more
Today, artificial intelligence labeling has long been common in our lives. Such as “face recognition” and “voice wake-up audio” all belong to the category of artificial intelligence. When it comes to artificial intelligence, we must talk about data annotation. Data annotation is to output “data” for artificial intelligence research that can be used for research. So, what … Read more
Data annotation service is a rigid demand industry that naturally arises with the development of AI. Behind the hot development of artificial intelligence, data annotation provides data fuel for its development. So, why choose data annotation services? Why choose Data Labeling Service? 1. Higher quality training data set Data labeling service providers have many experienced … Read more
With the continuous collection emergence of diverse AI scenarios, related companies have more urgent needs for the collection and labeling of multi-scenario data in different fields, which has also led to an increasing demand for customized data collection and labeling in the market, especially in deep learning. domain, more data is needed to improve the … Read more
The goal of NLP natural language processing is to train machines to understand or generate human language, but it is easier said than done, and NLP is also one of the most difficult problems in the field of artificial intelligence. What does NLP annotation mean? NLP is a branch of artificial intelligence that enables machines … Read more
We envision a computer future in which machines and humans interact in a symbiotic manner, and to accomplish this requires the power of computer vision and data annotation . Machines can now analyze and process human facial appearance to determine our emotions in real time, an area where advances are entirely attributable to the field of computer … Read more
Data labeling is the cornerstone of the artificial intelligence industry. The mainstream training mode of artificial intelligence is “question-sea tactics”, let artificial intelligence do enough questions, and then use the answers to tell it right or wrong. Therefore, machine learning needs to be supported by a large amount of effective data, and these data need to … Read more
As one of the mainstream methods of voice human-computer interaction, voice has unique advantages and charms. A seemingly short piece of voice not only contains the text content that the speaker wants to convey, but also contains the speaker’s identity, language category, speaker’s emotional state, the environment in which they speak, etc. What is Voice … Read more
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