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 tool

Deep Learning Guide: Choosing Your AI Data Annotation Tool

Choosing the proper AI data annotation tool improves your project’s effectiveness. Various data annotation tools include manual, semi-automatic, and automatic tools. This blog post explores the different kinds of data annotation tools. It also discusses factors to consider when choosing tools for deep learning projects. Types of Data Annotation

face recognition

Using vision transformers for face recognition

An illustration of the team's part-based visual identification system. Using a lightweight landmark CNN, a facial image is processed to produce a set of facial landmarks. Using landmarks, facial parts are sampled from the input image and are then used as input to a ViT for feature extraction

Data annotation

Data Annotation Services For The Best Machine Learning Outcomes

The key to success in machine learning is working with correct training data. Your ML algorithm’s accuracy depends on your data annotation method. Data annotation services help you find annotated datasets perfect for training your ML models. Data annotation services help your company take a giant leap forward in

Video annotation | Img. credits: supervisely.ly

How Video Annotation Services Train Deep Learning Systems

Video annotation involves labeling and categorizing content for training machine learning algorithms. Video annotation services annotate objects, actions, and events depicted in a video. They can provide a deep learning system with the data it needs to learn and make informed decisions. This article explores the various types of video

machine-learning framework

A machine-learning framework is able to detect gender stereotypes in movie scripts by the actions of characters

In the initial stage of the research, manual annotations were collected for 9,613 descriptions, as well as gender expression labels for over 1.5 million characters. As a result, a machine learning model was developed to identify actions, agents, and patients in movie scripts using natural language. Finally, statistical

autonomous driving systems

Where do autonomous driving systems get their training data?

The autonomous driving industry is one of the most promising applications of machine learning technologies. They make use of complex sources of data. These can be located on the vehicles themselves or in the surrounding environments. They can engage with real-time data or apply over time. As with any machine

human-language descriptions

Robots learn from words

Princeton researchers have discovered that human-language descriptions of tools can assist in accelerating the learning of simulated robotic arms that lift and use a variety of tools. This research builds on the evidence that by providing richer information during the training process of artificial intelligence (AI), autonomous robots can become