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.

AI and human planners

Cooperation between AI and human planners

Artificial intelligence allows supply chain planners to alter forecasts generated by self-learning systems. Are there any benefits to this? Would the software's forecast be more reliable than the human's? KLU researchers are addressing these questions in a state-of-the-art study. On average, their study found that human

Labeling

Labeling in the Data Annotation Process

Machine learning has become one of the most important areas of technological development in recent years. Companies have seen unimaginable growth and development using statistical methods to train algorithms. However, supervised machine learning algorithms still need human input to operate properly. Data annotation is the process by which training datasets

Сomputer vision

How to improve computer vision in a simpler manner

It is necessary to train a machine-learning model before it is capable of performing a specific task, such as identifying cancer from a medical image. In order to train an image classification model, millions of examples of images are presented in a massive dataset. In spite of this, using real

AI-based mirror

An AI-based mirror is driving consumers back to stores

Researchers have found that consumers feel embarrassment and fakeness when using digital makeup mirrors, as well as crave the "real" in-store experience. Based on the research conducted between 2018-2022 by Bayes Business School, this study examined psychological and sociological factors associated with consumer experience with Augmented Reality (AR)

Machine learning hardware that can be trained with an optical chip

Machine learning hardware that can be trained with an optical chip

Using a chip developed by a multi-institutional research team, machine learning hardware can be trained. The research was published in Optica 23.11.2022. A recent McKinsey report estimates that machine learning applications are worth $165 billion annually. However, before a machine is able to perform intelligence tasks such as

Data Annotation

Quality Control Practices for Data Annotation

Not all data is created equal. Whether it’s videos or images, the quality of your data can completely determine the success or failure of your project. This is where quality control comes into play. With the right processes and practices, potential issues can be avoided from the start. Data

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