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Beyond high resolution organic data, you can also find synthetic datasets for human biometric training.
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vAIsual inks landmark content deal with Seattle-based nature and travel photography agency
vAIsual inks landmark content deal with Seattle-based nature and travel photography agency vAIsual Inc, pioneers in legally clean training datasets for AI, today signed a deal with Danita Delimont Stock Photography, a leading provider of nature and travel stock imagery. The deal will mean over 800,000 photographs will be available via the DataSetShop.com for AI training. The partnership is a win for copyright holders in the text-to-image generation industry, and presents an ethical and legally clean way for companies to train AI in a fair and safe way. According to vAIsual CEO, Michael Osterrieder, the deal is the first of
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vAIsual inks landmark content deal with middle eastern stock image agency
vAIsual Inc, pioneers in legally clean training datasets for AI, today signed a deal with The Middle Frame, a leading provider of stock photographs of Arabian people and culture. The deal will mean thousands of Middle East and North African photographs will be available via the DataSetShop.com for AI training. The partnership is a win for diversity and representation in the text-to-image generation industry, and presents an ethical and legal way for companies to train AI in a fair and legally clean way. According to vAIsual CEO, Michael Osterrieder, the deal is the first of its kind and provides the
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VAIsual introduces the world’s largest biometrically released real-life dataset
vAIsual, a technology company generating on-demand photos  using artificial intelligence, launched its dataset of 500,000 legally clean, original images. The dataset contains high-resolution images of real people, who have signed a biometric release authorizing usage of their likeness for AI training. This means it is the largest, legally cleared dataset of human photographs ever to be released. This number can be increased to two million through standard augmentation methods. All the original photos have been taken in a studio by highly trained professionals and supervised by machine learning experts, optimizing the images for machine learning purposes. As machine learning requires large volumes
