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.

Object detection

YOLOv8 Python implementation

Learn how to unlock the full potential of object detection by implementing YOLOv8 in Python. This step-by-step guide introduces you to the powerful features of YOLOv8. These range from fast detection to accurate segmentation. You'll learn how to use these features in your Python projects. Integrating YOLOv8 into

Object detection

YOLOv8: A Game-Changer for Video Surveillance

The security and technology worlds have come together in a big way. This union has spurred innovations we could barely imagine a decade ago. Now, YOLOv8 technology is bringing a major change to how we monitor areas in real time. It's the eighth version of an object detection

data annotation

Running YOLOv8 on Cloud Platforms: Advantages and How-To

YOLOv8 is a robust algorithm for visual tasks, marking a great performance across multiple metrics. Cloud-based YOLOv8 uses are surging, making previously onerous computational costs manageable. Thanks to the vast, scalable resources of cloud computing, users gain immediate access to top-tier AI tools. This not only benefits industries like agriculture,

Object detection

Boosting Accuracy in Object Detection: Tips for YOLOv8

YOLOv8 stands out in the realm of object detection for its superior real-time performance and accuracy. This model uses deep learning to swiftly spot objects in images. It's a vital asset for sectors such as self-driving cars, security systems, and software that recognizes images. For the best results

Data Annotation

YOLOv8 vs Mask R-CNN: In-depth Analysis and Comparison

Computer vision algorithms have transformed how we analyze images and videos. Object detection, pivotal in computer vision, has advanced greatly due to models like YOLOv8 and Mask R-CNN. Both have enhanced real-time detection and accuracy, benefiting many fields. This article will thoroughly compare YOLOv8 and Mask R-CNN, major models in

Object Detection

Enhancing Retail Analytics with YOLOv8 Object Detection

YOLOv8 is more than just an object detection model; it's a game-changer for retail analytics. This model merges deep learning with on-the-fly analysis. It allows stores to deeply analyze their activities like never before. This is achieved by accurately spotting and monitoring items in pictures and clips. Thus,

image annotation

Optimizing GPU Performance for YOLOv8

Did you know that improving your GPU's performance is crucial for unleashing the full potential of YOLOv8? This cutting-edge architecture is well-known in computer vision for its unmatched blend of speed, precision, and cost-efficiency. YOLOv8 is transforming the way we approach object detection, segmentation, and classification tasks with