Maxim Dupont

CVAT is a powerful video labeling tool and platform for data annotation in computer vision projects. It simplifies the process of annotating images and videos for object detection, semantic segmentation, and keypoint annotation. With CVAT, users can easily manage annotation projects, interpolate annotations for accurate representation of object movements, and

CVAT (Computer Vision Annotation Tool) is a powerful AI annotation tool used for efficient image annotation. In this step-by-step guide, we will walk you through the process of setting up CVAT on AWS to streamline your AI model development. By following these instructions, you will be able to deploy and

CVAT is a powerful open-source platform designed for annotating images and videos for machine learning and computer vision projects. It supports various annotation types like bounding boxes, polygons, and keypoints. This guide will walk you through the step-by-step process of setting up CVAT for efficient and accurate data annotation. Installing

Data labeling plays a vital role in the development of supervised machine learning models, especially in the field of computer vision. With numerous image annotation tools available, it can be challenging to determine which one is the best fit for your projects. In this article, we will compare two popular

Becoming a freelance data annotator provides flexibility and the ability to work from home. Data annotators label data points used to train machine learning models. They perform various types of data annotation tasks, such as bounding boxes, video marking, transcription, translation, and text copying. Freelance data annotators have control over

Data annotation is a fundamental component of machine learning, playing a vital role in training models and enabling them to understand and interpret data accurately. By providing labeled data, annotations serve as the ground truth that guides machine learning algorithms in learning patterns and making accurate predictions. Various types of