Английская Википедия:Image2Text

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Версия от 11:18, 25 марта 2024; EducationBot (обсуждение | вклад) (Новая страница: «{{Английская Википедия/Панель перехода}} {{Notability|1=Companies|date=April 2022}} '''Image2Text technology''' was created by Cortica, an Israel-based startup whose technology simulates the performance of the human cortex so that computers recognize images with a high degree of accuracy.<ref name=Yeung>{{cite web|last1=Yeung|first1=Ken|title=Israel-based Cortica raises $1.5M from M...»)
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Шаблон:Notability Image2Text technology was created by Cortica, an Israel-based startup whose technology simulates the performance of the human cortex so that computers recognize images with a high degree of accuracy.[1] Image2Text is the result of 10 years in research and development and is protected by more than 50 patents.[2]

Product Differentiation

Cortica's engine processes and recognizes images based on patterns, as the brain does, providing accuracy purporting to be comparable with that of the human brain.[1]

Previous image search solutions have relied on databases of images compiled through fingerprinting, modeling and crowdsourcing.[3] Cortica differentiates itself from these other products; patterns are clustered into digital concepts, which are stored and mapped to keywords and contextual taxonomies that enable it to interpret the content appearing in the digital media.[4]

Uses

Cortica's Image2Text technology associates images with concepts and enables a host of business opportunities.[5] The technology has implications for augmented reality,[6] a visual technology that experts say will improve when it incorporates computer vision and dynamic mapping of the real world environment.[7] In addition, computer vision technologies, like those guided by Image2Text, have been integrated into self-driving cars to help identify road hazards.[8]

References

Шаблон:Reflist