Odnoklassniki launched a photo showcase with machine learning technologies

A photo showcase with machine learning technologies has appeared in Odnoklassniki. It gives new opportunities for working with photos, illustrations, videos and GIFs. This was reported in the press service of the social network.

Odnoklassniki launched a photo showcase with machine learning technologies

Added the ability to view archived images, as well as create new content using machine learning technologies, to the Photos section. The “Photo Selection” feature will help you quickly find photos left after an event, grouped by date and geolocation, and upload them to your profile.

According to the company itself, users accepted the new feature with interest: during the test run, they downloaded over 250,000 images through such collections. The option is currently available in the app on Android, but will soon appear on iOS.

And in a separate tab “Ideas” you can experiment with your own image. To do this, we added the New Image service with deepfake technology.

In addition, the social network has updated the functions of creating digital photo books and video clips from photos. Now their work is based on machine learning technologies. Thanks to this, you can automatically collect the best pictures in a slideshow.

The new photo showcase is already available in the Photos section of the OK apps on iOS and Android.

The fact that the social network will launch a photo showcase was reported at the end of last year. Then Odnoklassniki announced an update to the content platform.

Cover photo: XanderSt / Shutterstock

Subscribe to our Telegram channelto keep up to date with the latest news and events!


Source: RB.RU by rb.ru.

*The article has been translated based on the content of RB.RU by rb.ru. If there is any problem regarding the content, copyright, please leave a report below the article. We will try to process as quickly as possible to protect the rights of the author. Thank you very much!

*We just want readers to access information more quickly and easily with other multilingual content, instead of information only available in a certain language.

*We always respect the copyright of the content of the author and always include the original link of the source article.If the author disagrees, just leave the report below the article, the article will be edited or deleted at the request of the author. Thanks very much! Best regards!