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.

computer science

An educational and computer science team is taking artificial intelligence (AI) beyond Siri

Northern Illinois University and Argonne National Laboratory collaborated to host a camp introducing students to artificial intelligence. It will not be long before AI competency becomes a required skill for the workforce. Researchers are considering how middle school and high school students might be introduced to artificial intelligence through a

polygon annotation

Challenges and Solutions in Implementing Tight Bounding Boxes

Bounding box annotation is a fundamental and widely used technique in the field of computer vision and machine learning. It involves manually labeling or annotating an image with a bounding box around a specific object or feature of interest. However, implementing tight bounding boxes can present several challenges. This article

Museum Exhibits

Kids Can Learn More by Integrating Artificial Intelligence into Museum Exhibits

There is no doubt that hands-on exhibits are a staple of science and children's museums around the world and that kids love them. Through the exhibits, children are invited to explore scientific concepts in a fun and interactive manner. But do they actually teach kids anything? Children need

Bounding box annotation

Fundamentals of Tight Bounding Boxes in Image Annotation

A person in front of a computer, using a mouse to draw a tight bounding box around an object in an image. The person has a focused expression and is wearing headphones. The image on the computer screen is blurry and out of focus, making it difficult to discern the

object detection

Advantages of Using Tight Bounding Boxes in Object Detection

In the field of computer vision, bounding boxes play a crucial role in tasks like object detection. These rectangular region labels define the position and size of objects within an image. When it comes to supervised machine learning, opting for tight bounding boxes brings numerous advantages. Unlike other forms of

Hardware for Machine Learning

20 Best Hardware for Machine Learning in 2023

2023 marks a significant year in AI advancements, highlighting the importance of choosing the right machine learning hardware. Our guide lists the top 20 options, each uniquely combining power, efficiency, and innovation. Ideal for AI enthusiasts and professionals alike, this guide helps you navigate the evolving tech landscape and maximize

medical synthetic data

The Black Side Of Synthetic Data For Medical Sector.

The use of synthetic data in the medical sector has been gaining traction in recent years. Synthetic data is artificially generated data that can be used in place of real data for research purposes. It has been touted as a solution to some of the challenges faced by medical researchers,