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 vision

Initial Configuration of Label Studio

Upon launching Label Studio for the first time, it employs an SQLite database for storing labeling tasks and annotations. This default setup is suitable for smaller projects. However, for larger projects, switching to PostgreSQL can enhance performance and scalability. The command line provides numerous arguments to personalize your Label Studio

computer vision

Core Algorithms and Techniques in YOLOv10

YOLOv10 represents a major advancement in real-time object detection. It builds upon the success of its predecessors, introducing new techniques that significantly enhance its performance across various applications. This latest version of the YOLO family showcases the power of deep learning and efficiency. The architecture of YOLOv10 includes NMS-free training

computer vision

Installation Guide for Label Studio

Welcome to the comprehensive Label Studio Installation Guide. This tutorial will guide you through setting up Label Studio, a powerful tool for data annotation. It supports both on-premises and cloud environments, offering various installation methods to meet your needs. Label Studio is compatible with Linux, Windows, and MacOSX systems, requiring

machine learning

Detailed Architecture of YOLOv10

YOLOv10, the latest in real-time object detection, represents a major advancement in convolutional neural networks. It was released in May 2024 and has redefined the computer vision landscape. This deep learning model addresses long-standing object detection challenges, offering unparalleled speed and accuracy. At its core, YOLOv10 employs a groundbreaking NMS-free

computer vision

The Importance of Data Annotation in Machine Learning

Data annotation is the cornerstone of AI and ML model development. It involves labeling raw data to create precise training datasets. This essential step imbues algorithms with the ability to discern patterns and predict outcomes. The global data annotation market is experiencing exponential growth, expected to hit $6,450.0

machine learning

History of YOLO: From YOLOv1 to YOLOv10

The YOLO (You Only Look Once) family has transformed computer vision since its debut in 2016. Joseph Redmon and his team introduced this groundbreaking framework, altering the real-time processing landscape in artificial intelligence. YOLO's inception started with YOLOv1, employing convolutional neural networks for swift object detection in images.

computer vision

What is Label Studio?

Label Studio is a robust data labeling tool aimed at simplifying the preparation of training data for AI models. It supports a broad spectrum of data types, making it crucial for machine learning experts and data scientists. This open-source platform provides flexibility and customization to meet diverse labeling needs. It&