Data annotation & labeling blog.

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Maxim Dupont

Maxim Dupont is the founder of LabelVisor, a scientist & software engineer. His hobby of writing tech reviews has become his new way of life. His belief is that together we can achieve the best world.

Data annotation for autonomous vehicles

How do you use data annotation for autonomous vehicles?

For autonomous vehicles, data annotation is crucial. They use it to learn how to identify and interact with the environment. It involves the process of labeling data and then using it to train machine learning models. Of course, you can use data annotation for any data. But it is beneficial

British Antarctic Survey

The use of artificial intelligence to navigate polar ships

An artificial intelligence (AI) tool developed by British Antarctic Survey (BAS) researchers will assist ships in navigating polar ocean conditions more efficiently. The tool is intended to reduce carbon emissions as well as improve scientific research. Developed by the BAS AI Lab, the system will assist the crew of the

AI data standards

New AI data standards outlined by scientists

An undamaged bi-crystal gold sample with Bragg diffraction peaks visualized in 15x15 pixels. Height is photon count. ThetaGPU processed data collected at the Advanced Photon Source. Eliu Huerta/Argonne National Laboratory. Many budding bakers have to adapt award-winning recipes to fit their kitchen setups. A prize-winning chocolate chip cookie can

Labeling

Building better models with annotated data

Data annotation is the process of labeling data with metadata. It is an important part of these ML algorithms because it helps ensure that it works as expected. These models reflect the intentions of their designers. Without a clear understanding of what “correct” categorization looks like, many of these models

AI in industrial settings

Using artificial intelligence to locate objects in industrial settings

Indoor positioning is a big part of the industrial sector's digital transformation. From logistics to health care, tracking objects, assets and people accurately and cheaply could save companies time, money, and resources. Professor Xavier Vilajosana coordinates the university's participation in a new European project that'

Deepfake of Mark Zuckerberg

This decade will be the decade of deepfake advertising

Marketing is becoming more and more manipulative. Artificial intelligence (AI) and machine learning are used to create convincing, true-to-life synthetic replicas that are nearly impossible to spot. Deepfake advertising is here "Preparing for an Era of Deepfakes and AI-Generated Ads: A Framework for Understanding Responses to Manipulated Advertising"

Traffic signal control algorithms | Credit: Unsplash/CC0 Public Domain

Traffic signal control algorithms are developed using meta-reinforcement learning

In urban areas, traffic signal control has a significant impact on day-to-day life. Based on the traffic conditions, the existing system utilizes a theory-based controller to alter the traffic lights. During unsaturated traffic conditions, the objective is to minimize vehicle delays while maximizing vehicle throughput during congestion. Nevertheless, the existing