How can we obtain the highest quality in our Artificial Intelligence/Machine Learning? The answer is high-quality training data, according to many scientists. But to ensure such high-quality work might not be that easy. So the question is “What is the data annotation best practices?” One might think of data annotation as mundane and tedious work…
Vietnam is amongst the top destinations for AI data processing services, providing top-notch data labeling, data collecting and data annotation work. With many favorable traits that can help businesses reduce costs as much as possible, we now have a whole ecosystem of the top Data Labeling companies in Vietnam. If you are looking for a…
Automated Data Labeling is a new feature that is currently being constantly mentioned among Data annotation trends, and some even deem it the solution for the time-consuming and resource-consuming casual manual annotation. As the Manual Data Labeling – aka Manual Data Annotation takes hours to annotate one dataset, the Automated data labeling technology now proposes a…
The AI-Powered Virtual Assistant Market Size is estimated to be at $3.442 Billion in 2019, and this number is expected to surpass $45.1 Billion by 2027, raising by 37.7% (according to a study by CAGR). And this can all start from the simple voice annotation. The possibility and utility of AI-Powered Virtual Assistants come from…
One of the most popular use cases of AI and Data Annotation is Autonomous Car. The idea of Autonomous Cars (or Self-Driving Cars) has always been a fascinating field for exploitation, even in entertainment or actual transportation. This was once just a fictional outlook, but with the evolution of information technology and the technical…
Outsourcing the data labeling services to emerging BPO destinations like Vietnam, China, and India has become a recent trend. However, it is not easy to choose the most suitable data labeling outsourcing vendor among numerous companies. In this article, LQA will walk you through some advices to find the best vendor. 1. Prepare…