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.

Bounding Boxes

Role of Tight Bounding Boxes in Enhancing Model Accuracy

Create an image showing how tight bounding boxes can help improve the accuracy of machine learning models used for object recognition. Incorporate examples of objects with and without tight bounding boxes to illustrate the difference in accuracy. Use contrasting colors or shading to highlight the difference in performance between models

Bounding Boxes

Comparison: Tight Bounding Boxes vs. Loose Bounding Boxes

Image annotation is an essential process in computer vision, AI, and machine learning. It involves labeling objects within an image to facilitate image recognition. One of the critical components of image annotation is bounding boxes. Bounding boxes define the boundaries of objects within an image, making it easier for the

machine learning

TOP hard and soft skills for data annotators

Data annotation is a critical component of machine learning, and it requires a unique set of skills to ensure accuracy and efficiency. As more companies invest in AI technologies, the demand for skilled data annotators is on the rise. However, it's not just about having technical expertise. The

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