Data annotation & labeling blog.

Subscribe

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

Comprehensive Guide to YOLOv10

The object detection algorithm YOLOv10 is one powerful innovation. It's 1.8 times faster than its predecessors, yet maintains similar accuracy. This is achieved with fewer parameters and FLOPs, marking a significant leap in the YOLO series. This advancement places YOLOv10 at the forefront of computer vision technology.

machine learning

Accessing Documentation and Support for Label Studio

Label Studio's architecture combines Python, Django, JavaScript, React, and Machine Learning backends. This makes it a versatile tool for various data types and multiple projects under one umbrella. Its installation process is straightforward, and components can be customized. The detailed Label Studio documentation empowers users to handle data

Machine learning

Comparing YOLOv10 with Other Object Detection Models

In the rapidly evolving field of computer vision, object detection models are critical for real-world applications. The introduction of YOLOv10 in May 2024 has set a new benchmark for efficiency and performance. It surpasses its predecessors by significantly reducing computational overhead and latency by 70% in its YOLOv10-N variant. This

Machine learning

Joining the Label Studio Community

Joining the Label Studio Community means entering a dynamic space that influences the future of machine learning. Discussions cover everything from data labeling to the latest in machine learning, fostering a culture of shared knowledge and contribution. With features that ensure all projects get the attention they need, you become

Data annotation

Deep Learning Frameworks for YOLOv10: PyTorch, TensorFlow, Keras

Frameworks such as PyTorch YOLOv10, TensorFlow YOLOv10, and Keras YOLOv10 are more than tools; they are drivers of innovation. They each have their own stories of challenges and victories in the YOLOv10 object detection field. YOLOv10 is changing the game with its non-maximum suppression (NMS) free-training and efficiency. You'

machine learning

Success Stories: Projects Using Label Studio

Curious about how Label Studio can revolutionize your AI projects? Dive into the possibilities and boost your team's labeling efficiency. Here, innovation meets precision in the fast-paced world of machine learning. Introduction to Label Studio and Data-Centric AI The evolution of the data labeling ecosystem has seen a

Data annotation

Comparative Analysis of YOLO Versions: YOLOv1 to YOLOv10

In the vast realm of deep learning, YOLO (You Only Look Once) has emerged as a key innovation. It has impacted fields from gene expression to advanced agricultural systems. From the initial YOLOv1, which processed visual data at 45 frames per second, to the latest YOLOv10, which has significantly reduced