Photo tagging has been a vital feature on Facebook for a long time. However, its effectiveness was not as good as it is today. Facebook is one of the fastest growing platforms for images and sharing media content. Stocking up pictures and ensuring their security is also a big challenge for the company.
Over the years as Facebook evolved, so did its artificial intelligence capabilities and features. Here are some essential ways for how Facebook is leveraging the power of AI, machine learning, and image recognition.
Fast and Automated Image Categorizing
With billions of photos shared on Facebook every day, it is impossible to categorize them manually. Image recognition technology allows computers to categorize or group these images with relevant keywords and hashtags. The process is completely automated and very efficient. It allows Facebook to understand the user’s preferences better and enables them to suggest more useful ways to spend their time on the platform.
Extracting valuable data from images helps Facebook assess the type of content a particular user would like to see more. Even if you are present in a high-resolution group photo, finding you will be easy and fast using advanced face recognition systems. Facebook’s method of detecting and analyzing faces is similar to the ones provided on ImageRecognize.com, also capable of detecting and distinguishing faces.
Advanced Image Tagging and Improved Search Capabilities
Unlike in the past, the suggestion of inappropriate or wrong tags or keywords for your pictures is not very common nowadays. This is because Facebook’s image recognition technology has advanced significantly.
With machine learning at its forefront, the technology helps to analyze a large number of images without any human intervention or tag suggestion. This way, users are able to search for pictures using relevant keywords even if they have not been tagged.
The power of image recognition on Facebook enables people to access the content they are looking for by searching a huge volume of text, images, and videos. For example, whenever your face image is uploaded on the platform, Facebook may notify you through image recognition systems.
Highly Accurate Facial Recognition
Facebook employs advanced technology of facial recognition to identify people in different images. This feature is called DeepFace and uses deep learning mechanisms to recognize faces. It is shown to have a very high accuracy rate, even more than human involvement. The success rate for matching and identifying a face in a photograph is 97% for Facebook’s DeepFace and 96% for a living person.
Targeted Social Media Marketing
Facebook is a leading platform for digital marketers and advertisers. It uses a variety of different advertising campaigns to promote a diverse range of products and services. Image recognition capabilities help Facebook identify users and classify them according to their profile information.
Using deep learning technology, Facebook trains machines to learn as much about a person as possible. This includes not only basic profile information, but also the type of pages visited, searched, or time spent on specific content. Their data collection aims to cluster people and present them with targeted advertising messages. This enables business entities to reach out to a larger number of potential clients and target those who match their profile requirements.
Image Recognition and Facial verification can therefore help to improve a company’s marketing efforts and provide an opportunity to create customized messages directed to specific clients or groups of users.
Eliminating Objectionable Content
With many photos and media content being uploaded on the platform every day, sifting through what is right and what is wrong is a significant challenge. With advanced image recognition applications, Facebook automatically detects objectionable and bad content from images and videos, removing it from the user’s feed. Without any human involvement, the platform is able to safeguard its users from unlawful and illegal objectionable content.