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,…
Data is the foundation of all the AI projects and there are different ways to prepare datasets, including collecting through the internet or consulting an agency. So, what is the best way to get raw data for the AI Data Training process? One suggested way to collect the train and test data is to…
“We enjoy working with LQA because of the high quality of their work and their flexibility in accommodating any new task. In the past year, we had a variety of different projects, from simple bounding box annotations to complex pixel-wise segmentation, and every time the team was able to perform the task according to the…
Data Annotation is the process of labelling the training data sets, which can be images, videos or audios. Needless to say, AI Annotation is of paramount importance to Machine Learning (ML), as ML algorithms need (quality) annotated data to process. In our AI training projects, we use different types of annotation. Choosing what type(s) to…
On 19th November, LQA was honored to join “Kanagawa business seminar” – the significant networking event with the participation of Kanagawa government officials, Kanagawa and Vietnamese businesses. Here, LQA CEO Xuan Phung had a conversation with Mr. Yuji Kuroiwa (黒岩 祐治), the Governor of Kanagawa Prefecture, to share with him about LQA’s plan to…