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

Ethical Considerations in AI Model Development

If you use facial recognition software, chances are it might not recognize you—if you're a woman or have darker skin. This reveals a bias in facial recognition tech, showing higher error rates for these groups. This issue is more than a tech failure; it embodies a deep

machine learning

Revolutionizing Finance with AI Model Integration

Last year in 2023, sales related to AI jumped by 29%, reaching $166 billion. This jump marks the start of a finance revolution. Now, AI in finance isn't just an extra piece; it's at the heart of the industry. By 2027, the finance world plans to

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