Image recognition has grown so effective because it uses deep learning . This is a machine learning method designed to resemble the way a human brain functions.Explain cognitive learning theory that’s how computers are taught to recognize visual elements within an image. By noticing emerging patterns and relying on large databases, machines can make sense of images and formulate relevant categories and tags.Explain cognitive learning theory

Image recognition is empowering the user experience of photo organization apps. Besides offering a photo storage, apps want to go a step further by giving people better search and discovery functions.Explain cognitive learning theory they can do that with the automated image organization capabilities provided by machine learning. The image recognition API integrated in the apps categorizes images on the basis of identified patterns and groups them thematically.Explain cognitive learning theory

Take eden photos , a mac app for photo organization, as an example. It uses imagga’s image recognition to offer its users image tags, automatic keywording of photos, and auto-categorization on the basis of visual topics.Explain cognitive learning theory users can sync their photos’ metadata on all devices and get keyword search in the native photos app on their iphones too.

Telecoms are another set of companies that integrate image recognition to improve their users’ experience.Explain cognitive learning theory they add value to their services by offering image organization and classification for photo libraries, which helps them attract and retain their customers.Explain cognitive learning theory on the customer side, user experience is improved by allowing people to categorize and order their photo memories.

An illustration of this application is imagga’s solution for swisscom .Explain cognitive learning theory the swiss telecom needed an efficient and secure way to organize users’ photos for its mycloud online service. With imagga’s image recognition API installed on premise, swisscom now offers its customers a safe feature that organizes and categorizes their visual data. #2.Explain cognitive learning theory stock photography and video websites

A powerful commercial use of image recognition can be seen in the field of stock photography and video. Stock websites provide platforms where photographers and videomakers can sell their content.Explain cognitive learning theory contributors need a way to tag large amounts of visual material, which is time-consuming and tedious. In the same time, without proper keyword attribution, their content cannot be indexed – and thus cannot be discovered by buyers.Explain cognitive learning theory

Image recognition is thus crucial for stock websites. It’s fueling billions of searches daily in stock websites. It provides the tools to make visual content discoverable by users via search .Explain cognitive learning theory in the same time, image recognition is a huge relief for stock contributors. They get automatic keyword suggestions, which save them a ton of time and efforts.Explain cognitive learning theory image recognition can also give them creative ideas how to tag their content more successfully and comprehensively.

Keywording software tools like qhero have integrated with imagga’s image recognition AI to help stock contributors describe and tag their content with ease.Explain cognitive learning theory such tools analyze visual assets and propose relevant keywords. This reduces the time needed by photographers for processing of visual material.Explain cognitive learning theory it makes manual keywording a thing of the past by suggesting the most appropriate words that describe an image. #3. Visual search for improved product discoverability

explain cognitive learning theory

Imagga visual search API enables companies to implement image-based search into their software systems and applications to maximize the searchable potential of their visual data.Explain cognitive learning theory the fashion, home décor and furniture online retailers are already integrating it in their digital shopping experience to increase conversions and decreases shopping cart abandonment while also offering rich media experience to users.Explain cognitive learning theory

Meanwhile consumers are increasingly adopting this new search habit and gartner predicts 30% increase in digital commerce revenue by 2021 for companies who redesign their websites and apps to support visual and voice search.Explain cognitive learning theory the benefits of visual search include enhanced product discovery, delivery where text searches fail and easy product recommendation based on actual similarity.Explain cognitive learning theory learn more about the use case of visual search in e-commerce and retail. #4. Image classification for websites with large visual databases

If a visual database does not contain metadata about the images, categorizing it is a huge hassle.Explain cognitive learning theory classification of images through machine learning is a key solution for this. With image recognition, companies can easily organize and categorize their database because it allows for automatic classification of images in large quantities.Explain cognitive learning theory this helps them monetize their visual content without investing countless hours for manual sorting and tagging.

The best part about automated image classification is that it allows for custom training on top of the general image recognition API.Explain cognitive learning theory this means that businesses can provide custom categories, which the AI is trained to recognize and use. Our case study on tavisca is a good example of using custom classifiers in practice and automating the process of hotel photos categorization. #5.Explain cognitive learning theory image and face recognition on social networks

While face recognition remains a sensitive ground, facebook hasn’t shied away from integrating it in users’ experience on the social media.Explain cognitive learning theory whenever users upload a photo, facebook is able to recognize objects and scenes in it before people enter a description. The computer vision can distinguish objects, facial expressions, food, natural landscapes and sports, among others.Explain cognitive learning theory besides tagging of people on photos, image recognition is used to translate visual content for blind users and to identify inappropriate or offensive images.Explain cognitive learning theory

Photo recognition has also been embraced by other image-centric services online. Google photos and apple’s photos app cluster photos on the basis of events and places, plus offer face detection.Explain cognitive learning theory the application of image recognition significantly enhances users’ experience. It helps them organize their photos in meaningful series. They can easily exchange, say, travel photos with friends who were a part of the same trip. #6.Explain cognitive learning theory interactive marketing and creative campaigns

Social intelligence today is largely based on social listening. It involves following conversations on social media to learn more about prospects.Explain cognitive learning theory but today, this knowledge can be gathered from visuals shared online with much higher efficiency. In a sea of abundant and often irrelevant visual content, extracting useful information is possible only through machine learning – or ‘visual listening.’ for example, image recognition can identify visual brand mentions and expression of emotion towards a brand , as well as logo and other brand data that would be otherwise undiscoverable.Explain cognitive learning theory on the basis of collected information from analyzing images, marketers can better target their campaigns by using customization and personalization.Explain cognitive learning theory

Besides valuable information about potential customers, image recognition can be used for crafting creative content that engages people and helps build their relationships with brands.Explain cognitive learning theory to illustrate this: imagga’s image recognition API was used in a KIA marketing project to create an interactive campaign. By profiling of participants’ image content online, each person is assigned to a different lifestyle group.Explain cognitive learning theory then they are matched to the right car that best fits their style among the 36 different car styles offered by KIA. Celebrating the power of image recognition