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'''CamFind''' is a visual search and [[image recognition]] [[mobile app]] developed by Image Searcher, Inc. in 2013 under CEO, Dominik Mazur.<ref>{{cite web|url=http://www.idigitaltimes.com/camfind-wants-be-google-visual-search-theres-just-one-thing-overcome-422772|title=CamFind Wants To Be The Google Of Visual Search But There's Just One Thing To Overcome|author=Sanna Chu|work=[[iDigitalTimes]]|access-date=2015-04-27|archive-url=https://web.archive.org/web/20150514151020/http://www.idigitaltimes.com/camfind-wants-be-google-visual-search-theres-just-one-thing-overcome-422772|archive-date=2015-05-14|url-status=dead}}</ref><ref>{{Cite web |title=CamFind {{!}} AppleVis |url=https://www.applevis.com/apps/ios/utilities/camfind |access-date=2023-06-27 |website=www.applevis.com}}</ref> The company is based in Los Angeles, CA and centers around image recognition.<ref |
'''CamFind''' is a visual search and [[image recognition]] [[mobile app]] developed by Image Searcher, Inc. in 2013 under CEO, Dominik Mazur.<ref>{{cite web|url=http://www.idigitaltimes.com/camfind-wants-be-google-visual-search-theres-just-one-thing-overcome-422772|title=CamFind Wants To Be The Google Of Visual Search But There's Just One Thing To Overcome|author=Sanna Chu|work=[[iDigitalTimes]]|access-date=2015-04-27|archive-url=https://web.archive.org/web/20150514151020/http://www.idigitaltimes.com/camfind-wants-be-google-visual-search-theres-just-one-thing-overcome-422772|archive-date=2015-05-14|url-status=dead}}</ref><ref name=":0">{{Cite web |title=CamFind {{!}} AppleVis |url=https://www.applevis.com/apps/ios/utilities/camfind |access-date=2023-06-27 |website=www.applevis.com}}</ref> The company is based in Los Angeles, CA and centers around image recognition.<ref name=":0" /> |
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Powered by their api, CloudSight, it allows users to identify any item just by taking a picture with their smartphone, providing a range of information including related images, local shopping results, price comparisons and web results.<ref>{{cite web|url=https://thenextweb.com/creativity/2015/02/24/camfind-launches-cloudsight-api-for-multiplatform-visual-search-functionality/|title=CamFind launches CloudSight API for multiplatform visual search functionality|author=Jackie Dove|work=The Next Web|date=24 February 2015}}</ref> It has been downloaded more than 18 million times and has identified over 550 million images. |
Powered by their api, CloudSight, it allows users to identify any item just by taking a picture with their smartphone, providing a range of information including related images, local shopping results, price comparisons and web results.<ref>{{cite web|url=https://thenextweb.com/creativity/2015/02/24/camfind-launches-cloudsight-api-for-multiplatform-visual-search-functionality/|title=CamFind launches CloudSight API for multiplatform visual search functionality|author=Jackie Dove|work=The Next Web|date=24 February 2015}}</ref> It has been downloaded more than 18 million times and has identified over 550 million images. |
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== History == |
== History == |
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In 2013, CamFind had over 1 million users. |
In 2013, CamFind had over 1 million users.{{Citation needed|date=June 2024}} |
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As of April 2015, CamFind's newest 4.0 release made it the first mobile visual search engine to include social features, such as the ability to like and favorite images shared around the world, as well as new 'live' and 'popular' image stream feeds.<ref name=social>{{cite web|url=https://www.cnbc.com/id/102594199|title=CamFind - The First Visual Search Engine Goes Social|author=Image Searcher, Inc.|work=[[CNBC]]}}{{Dead link|date=November 2023 |bot=InternetArchiveBot |fix-attempted=yes }}</ref> |
As of April 2015, CamFind's newest 4.0 release made it the first mobile visual search engine to include social features, such as the ability to like and favorite images shared around the world, as well as new 'live' and 'popular' image stream feeds.<ref name=social>{{cite web|url=https://www.cnbc.com/id/102594199|title=CamFind - The First Visual Search Engine Goes Social|author=Image Searcher, Inc.|work=[[CNBC]]}}{{Dead link|date=November 2023 |bot=InternetArchiveBot |fix-attempted=yes }}</ref> |
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Revision as of 09:34, 3 June 2024
 | This article reads like a press release or a news article and may be largely based on routine coverage. (August 2017) |
| Developer(s) | CloudSight, Inc. |
|---|---|
| Stable release | |
| Operating system | iOS 10.0 or later, Android 5.0 or later |
| Size | 125.9 MB (iOS)[2] 11 MB (Android)[1] |
| Available in | English[2] |
| Website | camfindapp |
CamFind is a visual search and image recognition mobile app developed by Image Searcher, Inc. in 2013 under CEO, Dominik Mazur.[3][4] The company is based in Los Angeles, CA and centers around image recognition.[4]
Powered by their api, CloudSight, it allows users to identify any item just by taking a picture with their smartphone, providing a range of information including related images, local shopping results, price comparisons and web results.[5] It has been downloaded more than 18 million times and has identified over 550 million images.
History
In 2013, CamFind had over 1 million users.[citation needed]
As of April 2015, CamFind's newest 4.0 release made it the first mobile visual search engine to include social features, such as the ability to like and favorite images shared around the world, as well as new 'live' and 'popular' image stream feeds.[6]
References
- ^ a b "CamFind - Apps on Google Play". play.google.com. Retrieved 2021-03-29.
- ^ a b c "CamFind on the App Store". apps.apple.com. 11 November 2019. Retrieved 2021-03-29.
- ^ Sanna Chu. "CamFind Wants To Be The Google Of Visual Search But There's Just One Thing To Overcome". iDigitalTimes. Archived from the original on 2015-05-14. Retrieved 2015-04-27.
- ^ a b "CamFind | AppleVis". www.applevis.com. Retrieved 2023-06-27.
- ^ Jackie Dove (24 February 2015). "CamFind launches CloudSight API for multiplatform visual search functionality". The Next Web.
External links
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