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.

Machine Learning

Curating Alignment Test Sets: Evaluating Whether Models Follow Instructions

Alignment test sets are essential for verifying that models understand and execute tasks as intended. These instructions and evaluations are a cornerstone of reliable AI systems. As we explore the significance of alignment test sets, we'll see how they enhance AI model instructions and NLP model evaluation. Key

Computer vision

Annotating Underwater Imagery: Techniques for Marine Life and Environments

We are at the cusp of a technological revolution in underwater image labeling, essential for practical marine life annotation, environmental monitoring, and aquatic scene understanding. Dynamic underwater ecosystems present complex challenges that require innovative solutions through deep learning and crowdsourcing methodologies. Key Takeaways * Oceanographic monitoring advancements elevate observation scales, yet

Computer vision

Creating Heuristic Labeling Functions to Automate Annotation at Scale

Did you know that programmatic labeling can speed up the annotation process by up to 100 times? Traditional methods can take years, but heuristic labeling changes the game. It allows us to process large amounts of data quickly and accurately. Using Snorkel-like labeling functions, companies are transforming their data annotation

Computer vision

On-Device Annotation: Labeling Data for Real-Time Models

Cloud-based labeling methods are facing new hurdles as the need for data models grows. So, on-device annotation uses edge AI to label data where it is created instantly. On-device annotation has revolutionized how data is processed and used in machine learning. It maintains confidentiality and does not transmit data to

Data annotation

Labeling Data for Stable Diffusion: Crafting High-Quality Prompt-Image Pairs

The secret sauce behind Stable Diffusion isn't just the raw data—it's the meticulous process of crafting and labeling prompt-image pairs with an in-depth understanding of the process. Even small tweaks could make a massive difference, permitting the version to generate clearer, more personalized outputs. Once

Data Annotation

10 Best Data Annotation Platforms of 2025: Essential Tools for AI and Machine Learning

With the advancement of AI, annotation platforms are doing more than just labeling data. This will create a space where accuracy, teamwork, and new ideas meet, which is essential for the future of technology. The combination of human skills and technology is what makes annotation platforms successful. When you choose

Computer vision

Advanced Image Annotation for Fashion AI and E-commerce

In the fast-paced world of fashion AI and e-commerce, advanced annotation techniques are key to boosting AI's capabilities. Good image annotation is vital for sorting products, optimizing search engines, and bettering the shopping experience. As the e-commerce field expands, using advanced image annotation is essential. It enhances visual