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.

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

Image annotation

The role of image annotators in machine learning

Image annotators are essential for the development of effective image recognition algorithms. Image annotation is the process of adding labeled contextual metadata to an image. This can enable a computer to recognize, classify, or describe the contents of inputs. The tools used to accomplish this can vary significantly. The type

artificial intelligence

Choosing the right artificial intelligence

The use of artificial intelligence is a powerful tool for studying the human genome. However, the field has been inundated with innovation in recent years due to its popularity. Due to the large number of AI algorithms available, it is difficult to determine which one is most effective. Peter Koo,

Data annotation in e-commerce

ML Data Annotation Enhancing E-commerce Industry

Machine learning (ML) has become an integral part of the e-commerce industry. It enables businesses to make more informed decisions and improve operations. At the heart of this technology is data annotation. The process labels and categorizes data to make it more useful for ML algorithms. Accurate ML data annotation