09-04-2023, 06:53 AM
University Research Teams Open-Source Natural Adversarial Image DataSet for Computer
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<p>Research teams from three universities recently released a dataset called ImageNet-A, containing natural adversarial images: real-world images that are misclassified by image-recognition AI. When used as a test-set on several state-of-the-art pre-trained models, the models achieve an accuracy rate of less than 3%. (Source: <a href="https://www.infoq.com/news/2019/08/adversarial-image-dataset/">InfoHQ</a>)</p>
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https://www.sickgaming.net/blog/2019/08/...vision-ai/
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<p>Research teams from three universities recently released a dataset called ImageNet-A, containing natural adversarial images: real-world images that are misclassified by image-recognition AI. When used as a test-set on several state-of-the-art pre-trained models, the models achieve an accuracy rate of less than 3%. (Source: <a href="https://www.infoq.com/news/2019/08/adversarial-image-dataset/">InfoHQ</a>)</p>
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https://www.sickgaming.net/blog/2019/08/...vision-ai/