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Wondering which image annotation types best suit your project? In this article, we introduce five types of image annotation and their applications.
This glossary defines general AI and machine learning terms.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
AI in education is a field of evolving research, development and implementation. Discover the various forms, where they are used, and the machine learning models behind them.
Discover seven key factors that can help you choose the best algorithm for a machine learning project.
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
AI in retail offers a multitude of benefits, but how does it work? We look at examples of retail automation and the technology that powers it.
Entering international markets can be a difficult task. Learn how ad evaluation can help you maximize conversion and make the most out of your ads.
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
Capturing enough accurate, quality data at scale is a common challenge. Discover four ways to source raw data for machine learning, and how to go about annotation process.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
Are you evaluating your annotation team for quality? Read why self-agreement checks are critical for a proper evaluation.
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