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

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

Getting Your Next Machine Learning. AI Project Started with Data Annotation

Getting Your Next Machine Learning. AI Project Started with Data Annotation

ML algorithms will fail to produce meaningful results without a good training data set. Data annotation is the process of labeling and categorizing data for use in a training dataset. Done either by hand or by crowdsourcing, it mimics the process of the learning model. Translating human observations into functional

underwater camera

Engineers at MIT have developed a wireless underwater camera that does not require batteries

According to scientists, more than 95 percent of Earth's oceans have never been observed, meaning we know less about its oceans than we do about the surface of the moon or Mars. A major obstacle to widespread underwater exploration is the high cost of powering an underwater camera

Solar-powered robot

Solar-powered robots can walk autonomously

Researchers at Cornell University have integrated electronic brains into solar-powered robots that range in size from 100 micrometers to 250 micrometers. Because they are smaller than an ant's head, they can walk autonomously without being controlled externally. Although Cornell researchers have previously developed microscopic machines capable of crawling,

AI models

AI models cannot match the visual processing ability of humans, no matter how smart they are

Human object perception is characterized by its sensitivity to the holistic configuration of the local shape features of an object. At present, deep convolutional neural networks (DCNNs) are the dominant models for the recognition of objects in the visual cortex. However, do they capture this configural sensitivity? For answering this

Teaching AI to ask clinical questions by MIT

Teaching artificial intelligence to ask clinical questions

Researchers have made progress toward machine-learning algorithms that can aid physicians in rapidly locating patient health record information. The cumbersome nature of electronic health records makes it difficult for physicians to search for information that can help them make treatment decisions. Even when doctors are properly trained to use an