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.

rooftop solar panels

The use of artificial intelligence increases the efficiency of rooftop solar panels

Using artificial intelligence (AI) methods, Mohammed Aslani, a researcher in geographical information science at the University of Gävle, has developed a process that improves the placement of rooftop solar panels through several stages. It is difficult to determine how much electricity rooftop solar panels can produce. House owners can benefit

self-driving cars

Using deep learning to enhance the safety of self-driving cars

In recent years, autonomous vehicles have been hailed as the next generation of transportation. In order to facilitate autonomous navigation of such vehicles in a variety of scenarios, a variety of technologies must be developed, including signal processing, image processing, AI, deep learning, edge computing, and the Internet of things.

Machine learning

Why is Data Annotation for Machine Learning and AI Important?

Data annotation for machine learning is often underestimated as an essential step in the overall process. Data annotation is the process of manually marking or labeling data. This way, you can use it to train machine learning algorithms. Imagine you have a website selling books. You want to recommend other

super-resolution images

A low-resolution display can produce super-resolution images using artificial intelligence-designed structured materials

In the field of augmented/virtual reality (AR/VR), one of the most promising technologies is holographic image displays that mimic 3D optical waves by using coherent light illumination. As a result of these holographic image displays, wearable displays may be able to simplify their optical setup, which may lead

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