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

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

data annotation

Integrating YOLOv8 with TensorFlow: A Step-by-Step Guide

Did you know that within the realm of computer vision, YOLOv8 stands out as a top choice for object detection models? By merging with TensorFlow, an influential machine learning framework, the room for growth in image recognition and object detection knows no bounds. Known as "You Only Look Once

Autonomous Vehicles

YOLOv8: Revolutionizing Object Detection in Autonomous Vehicles

Object detection is key in self-driving cars. It's crucial they quickly spot and react to things in their path. And YOLOv8 plays a vital role here. Ultralytics created YOLOv8. It's a system using the latest in computer vision and deep learning. YOLOv8 is fast and accurate,