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

Automation and Scripting in Label Studio

In the realm of machine learning, data preparation is paramount. Label Studio brings forth automation features to simplify your machine learning data labeling endeavors. This open-source tool accommodates a variety of data formats, from text to video, and harmonizes effortlessly with ML projects. Label Studio's automation boosts efficiency

Data annotation

Applications of YOLOv10 in Object Detection

YOLOv10 introduces several groundbreaking features. Its NMS-free training strategy and consistent dual assignments streamline the inference process. These innovations lead to a reduction in latency, facilitating quicker real-time object detection. The model incorporates large-kernel convolutions and partial self-attention modules, boosting performance while keeping computational demands manageable. YOLOv10's advancements

Data annotation

Creating and Using Custom Annotation Templates in Label Studio

During the setup of your Label Studio project, you'll discover numerous customization options for the labeling interface. These tools enable you to design templates that align with your data structure and annotation requirements. Custom templates in Label Studio can notably boost your labeling efficiency, particularly for complex datasets

computer vision

Best Tools and Frameworks for YOLOv10

YOLOv10, the latest in the YOLO series, introduces significant advancements in object detection. This guide delves into the top tools and frameworks for leveraging YOLOv10 in deep learning projects. We'll explore essential resources, from PyTorch to TensorFlow, to aid in harnessing this advanced technology. YOLOv10 brings forth key

machine learning

Navigating the Annotation Interface in Label Studio

Label Studio's annotation interface is a great tool for data labeling in machine learning projects. It's an open-source platform that provides a user-friendly environment for annotating different data types. Whether you're labeling data alone or as part of a team, Label Studio offers features

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