The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...

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State-of-the-art image-classifying AI models trained on ImageNet, a popular (but problematic) dataset containing photos scraped from the internet, automatically learn humanlike biases about race, ...

A few months ago, an art project appeared online that offered people the chance to see just how one of the most widely used photo research databases would categorize them. People can upload photos of ...

Earlier this week, MIT permanently pulled its 80 Million Tiny Images dataset—a popular image database used to train machine learning systems to identify people and objects in an environment. The ...