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.

Data annotation

Step-by-Step Guide to Training YOLOv10

Welcome to the forefront with our YOLOv10 Guide, a pivotal advancement in object detection. Released on May 23, 2024, YOLOv10 elevates the standards of computer vision and deep learning. Its development by Tsinghua University's researchers showcases enhanced performance alongside reduced computational needs. YOLOv10 presents six variants, each designed

computer vision

Annotation Types Supported by Label Studio

Label Studio stands out as a robust, open-source data annotation tool. Label Studio Annotation Types run a broad spectrum. The platform offers both Community Edition and Enterprise versions. These cater to projects of varying scales and needs. Its web interface and customizable templates streamline data annotation for teams of any

computer vision

Datasets for Training YOLOv10

YOLOv10, the latest in the YOLO family, marks a leap forward in object detection. It was unveiled on May 23, 2024, by researchers at Tsinghua University. This neural network significantly advances real-time object detection capabilities. This model showcases notable improvements in speed and efficiency. YOLOv10-S surpasses its predecessors, offering 1.

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