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Michael Abramov

Michael Abramov

Data Annotation for Machine Learning Models

Data Annotation for Machine Learning Models

Data annotation is a crucial process in training machine learning models. It involves labeling individual elements of training data, such as text, images, audio, or video, to help machines understand what the data contains. Annotated data is used to train models and is also important for quality control in the

Exploring Open-Source Data Annotation Tools

Exploring Open-Source Data Annotation Tools

In the field of computer vision and machine learning, open-source data annotation tools play a crucial role in accurate AI data labeling and machine learning model training. These tools are freely available for use, making them a popular choice for startups and academic projects with limited budgets. In this article,

How AI is changing Finance: TOP-5 Cutting-Edge Applications and Their Advantages & Disadvantages

How AI is changing Finance: TOP-5 Cutting-Edge Applications and Their Advantages & Disadvantages

Artificial Intelligence (AI) is revolutionizing the way we live and work, and the finance industry is no exception. From fraud detection to portfolio management, AI is transforming the way we manage our finances. In this article, we'll explore the top 5 AI-powered finance apps that are changing the

Introducing ML-Assisted Data Labeling at Keylabs data annotation platform

Introducing ML-Assisted Data Labeling at Keylabs data annotation platform

A Game-Changer in Data Labeling Process and Efficiency In today's data-driven ecosystem, the foundational integrity of datasets stands paramount, and this is where Keylabs has always prided itself. With a rich legacy anchored in the realms of image labeling, Keylabs has persistently been at the forefront of providing

Data annotation quality for self driving vehicles: precision does matter

Data annotation quality for self driving vehicles: precision does matter

Self-driving vehicles are the future of transportation, and data annotation plays a crucial role in their development. Data annotation is the process of labeling and categorizing data to train machine learning algorithms. In the context of self-driving vehicles, data annotation involves labeling images, videos, and other sensor data to help

How AI is changing medical industry?

How AI is changing medical industry?

Artificial intelligence (AI) has been making waves in various industries, and the medical industry is no exception. AI has the potential to revolutionize the way we approach healthcare, from improving diagnosis and treatment to enhancing medical research and analysis. With the help of AI, healthcare providers can provide more accurate

First steps in data annotation project

First steps in data annotation project

Data annotation is the process of labeling data to help machines understand the information contained in it. It is a crucial step in building AI models and is the foundation of many advanced technologies such as computer vision, natural language processing, and speech recognition. In this article, we will explore