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The AI Position

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Pornhub Launches AI-powered Model That Detects Over 10,000 Pornstars in Videos Using Computer Vision

With more than 10 million engaged members, over 5 million videos and 80 million visitors a day, Pornhub is well established as one of the leading adult video streaming sites out there. Its success is based not only on providing a reliable streaming service and broad range of content, but on hosting social functionalities in-site, such as messaging, photos, achievement badges and the opportunity to upload and share their own videos.

AI can help guide users directly to the content they came to the site for Click To Tweet

Together with Naughty America, the company was also one of the first ones in the adult industry to experiment with virtual reality and teledildonics, proving that it is keen to use technology to stay ahead of the game and provide new titillating experiences for its users. This is why they are now rolling out a new AI video analysis tool which promises to make their site easier to navigate and their content more accessible.

“We’re growing at an exponential pace. We currently receive 80M visitors each day and that number will only continue to climb. We had an antiquated system for tagging videos that just wasn’t cutting it anymore. Now, with the influx of technology, particularly regarding AI/computer vision, we’re able to update our system and implement a model that will significantly improve content tagging. At the end of the day, we want our users to access the content that they visit our site for – be it videos of Riley Reid or any pornstar for that matter. Our new model will help surface more specific search results, which, ultimately, will keep people coming back for more.” Corey Price VP Pornhub told us.

Our new model will help surface more specific search results Click To Tweet

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The new AI model is designed to complement user tagging Click To Tweet

The new AI model is designed to complement the old fashioned user tagging of content and is fed several thousand videos, in addition to official photos of pornstars, to learn from. Then, based on what the AI has learned, it scans videos and returns the matching pornstars with a high confidence level. Pornhub users then validate what the AI model returns, either upvoting or downvoting the pornstar tags on the video, depending on its validity. Pornhub’s AI machine learning model uses this community validation mechanism to constantly get smarter.

“Our AI model will undoubtedly play a pivotal role moving forwards, especially considering that over 10,000 videos per day are added to the site. In fact, over the course of the past month alone, while we tested the model in beta, it was able to scan through 50,000 videos that have had pornstars added or removed on the video tags.” Corey explained

Over 10,000 videos per day are added to the Pornhub site Click To Tweet

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Pornhub will scan the 5 million videos on its platform over the next year Click To Tweet

Within the next year, Pornhub plans on scanning all 5 million videos currently on its platform and will also start scanning for category and tag detection in the videos. So, for example, the AI model will know if a video is shot outside and will add it to the “Public” category. Or, it will know if there are blondes in a video and automatically add it to the “Blonde” category. Furthermore, the model will also be able to detect various sex positions and be able to properly tag them.

“Ultimately, we want to provide our fans with whatever it is they have a penchant for and our new AI model will be able to surface more accurate results for them. It’s all about continuously updating our platform to provide our fans with the latest in technology to make their experience on our platform as seamless as possible. The easier it is to navigate and access what they want, the happier they will be.” Corey concluded

The AI model will eventually be able to detect and tag sexual positions Click To Tweet

Tom Atkinson is a Digital Producer & Photographer at R3Digital and Reviews & Dept. Editor at Tech Trends. Connect on LinkedIn and follow him on Twitter @R3Digital