Data annotation & labeling blog.

Subscribe

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.

Synthetic data

Synthetic data can enhance machine learning

It is possible to teach a machine to recognize human actions in a variety of ways, including automatically detecting workers who fall on a construction site. A smart home robot could interpret a user's gestures using this technology. In order to accomplish this, researchers use a vast database

Data annotation platform

What is a Machine Learning Data Annotation Platform?

Data annotation is one of the most critical steps in machine learning. It's also tedious, time-consuming, and error-prone. Machine learning data annotation eases this process by enabling data labeling with minimal effort. Machine learning algorithms need large quantities of labeled data to make predictions. Sometimes, they receive this

artificial intelligence

An educational and computer science team is taking artificial intelligence (AI) beyond Siri

Northern Illinois University and Argonne National Laboratory collaborated to host a camp introducing students to artificial intelligence. It will not be long before AI competency becomes a required skill for the workforce. Researchers are considering how middle school and high school students might be introduced to artificial intelligence through a

Data annotation

Data Annotation: Types and Use Cases for Machine Learning

Machine learning is how AI is trained. It is different from regular computer programming used to create AI. For AI to be able to make use of data, humans must manually add even more metadata. That process is known as data annotation. Just as many kinds of AI automate different

Deep learning models

Deep learning models can be skewed by network pruning, according to researchers

A recent study conducted by computer scientists has demonstrated that models based on deep learning can be adversely affected by a commonly used technique called neural network pruning. The study also describes what causes these performance problems and demonstrates a method for addressing them. Artificial intelligence, such as deep learning,

Image annotation

Defining Image Annotation and How it Works

Image annotation is the tagging, labeling, or identifying image sections to train an AI system. AI won’t know how to identify or recognize important data presented to it without image annotation. Image annotation is essential for AI machine learning to occur. This also makes it essential to the future

Data Annotation

Robust Data Annotation for Autonomous Vehicles

Creating models to operate a self-driving vehicle safely is the job of well-designed training data. The data must be robust and reflective of the world. For example, cars operate in different weather, road conditions, and environments. The actions of other manned vehicles are often unpredictable. Cars must predict and incorporate