The matter of Data Labeling Quality has been a major topic of concern in AI/ML communities. Perhaps the most common “principle” that you might come across solving this puzzle is “Garbage in, garbage out”. By saying this, we want to emphasize the fundamental law with training data for artificial intelligence and machine learning development…
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…
The world has witnessed unprecedented growth in the information technology market and IT outsourcing trend, which can be seen in almost every aspect of our daily lives. With its share in the “market pie” remaining with a steady rate prior to the Covid-19 pandemic, the year of 2022 will mark a new milestone in the…
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…
Parallel to the fast-paced development of the Artificial Intelligence and Machine Learning market, the field of data annotation is moving forward with the most accelerating trends, both in terms of tools and workflow. From AI-Powered Virtual Assistant to Autonomous Cars, data annotation has played an important role. Some might think that data annotation is a boring,…
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…
The purpose of data annotation. Machine Learning Machine learning is embedded in AI and allows machines to perform specific tasks through training. With data annotation, it can learn about pretty much everything. Machine learning techniques can be described into four types: Unsupervised learning, Semi-Supervised Learning, Supervised Learning, and Reinforcement learning ▸Supervised Learning: Supervised learning learns…
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…
We summarized a list of data annotation tools in an infographic which helps you to understand: How many types of data annotation tools there are The best tools in each type What kind of data that the tools can label [Infographic] A Comprehensive List of Data Annotation Tools Types of data annotation…