Did you know annotation that almost 90% of the data an organization owns is unstructured and growing at a rate of 55-65% every year? That must be a lot of unstructured data flowing! We all know how important high-quality training data is to AI/ML projects, not the fact that corrupting unstructured data poses security and compliance risks. … Read more
We’ve got smart stuff on our hands; you data know what the next breakthrough in the piled future is going to be? Before I tackle the question, let’s discuss the basics of data labeling and guide you through the process involved later. Data annotation is the method of labeling machine-recognizable content through computer vision or natural language processing (NLP)-based … Read more
Speech recognition technology is applied to intelligent driving and intelligent medical care Speech recognition is a cutting-edge technology that integrates knowledge of multiple disciplines, and is a key link in human-computer interaction technology. With the continuous development of science and technology, speech recognition technology has been widely used in all aspects of our work and life. For … Read more
Natural language processing NLP itself is to enable computers to process, understand, and use human language, so as to achieve effective communication between humans and computers. In order to study information retrieval, sentiment analysis, text classification , intelligent question and answer, abstract extraction, text mining, and public opinion analysis , knowledge graph, etc., to solve ambiguities in … Read more
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 effectiveness of machine learning Automated depends on various factors, one of which is data labeling. In automotive self-driving applications, precise vision training is required to detect or recognize objects on the road and keep the car in the correct lane. So, what are the types of data labeling for autonomous driving? Let’s introduce it below. Data … 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
The issue of data labeling quality has been a major topic of concern in the AI/ML community. Perhaps the most common “principle” you’re likely to come across when solving this puzzle is “garbage in, garbage out”. By saying this, we want to emphasize the fundamental laws of training data for AI and ML development projects. Low-quality training … Read more
Image annotation is one of the most important stages in the development pictures of computer vision and image recognition applications, which involves identifying, acquiring, describing and interpreting the results of digital images or videos. Computer vision is widely used in artificial intelligence applications such as self-driving cars, medical imaging or security. Therefore, image annotation plays … 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
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