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.

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

TechCrunch

Human-perception-based AI algorithms

Taking a physics-based approach to how humans perceive the world, Kavita Bala has developed a new generation of artificial intelligence systems. Human perception is likely overlooked when it comes to computers. After all, what does the logic of a computer have to do with our sensory abilities and brain processes?

Video Annotation Tool

12 Best AI Video Annotation Tools of 2023 [Updated]

Video annotations are a way to add extra information to the video. You can add them before, during, or after recording and use them for many purposes. AI video annotations are standard in computer vision projects and machine learning systems. They can help improve accuracy by providing more context for

Data annotation

Data Annotation for Machine Learning Tutorial: Definition, Tools, Datasets

Data annotation for machine learning often requires collaboration between humans and computers. Specifically, humans annotate the data by adding metadata about what each item represents or how to use it. Computers learn from these human-created labels to recognize similar patterns in new datasets. In this tutorial, you'll learn

data annotation

Data Annotation for Machine Learning from A to Z

Companies use machine learning to train artificial intelligence. The algorithms used for machine learning need an immense amount of data that can take many forms. The most common kinds of data are video and images. Data can include any type of data that a computer can store. Before that data

Training a machine-learning model

Taking on new learning challenges

Various connected devices, such as internet-of-things (IoT) devices and sensors in automobiles, rely on microcontrollers, miniature computers that can execute simple commands. Microcontrollers with limited memory and no operating system, however, make it difficult to train artificial intelligence models on edge devices that are independent of central computing resources due