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.

ai models

Strategies for Scaling Your AI Models Effectively

Large Language Models help developers create new things easier. Scaling AI models is central to this change. It's not just big companies like Amazon or Netflix that benefit. Firms in many sectors, including Dow Chemical Company, use AI to make R&D faster. Gartner predicts that throughout

data annotation

Real-time Analytics with Advanced AI Models

An astounding 2.5 quintillion bytes of data are created every day right now. This data surge offers enterprises a chance to extract valuable insights. These insights allow for quick, informed decisions with the aid of Real-time data analytics. It marks a pivotal shift by letting organizations scrutinize data instantly,

AI model

Mastering AI Model Lifecycle Management

Tasks like data preparation and preprocessing can take up to 80% of time in an AI project. This shows the importance of managing the AI model lifecycle well. Doing so ensures better results and maximizes AI investment value. AI model lifecycle management involves many phases. Each phase is key to

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