![]() ![]() ![]() The photo can be one you found online or a picture you took with your own camera. You can use Google Lens to search for what is in a photo. It’s sort of like a search engine for the real world that uses artificial i ntelligence and deep machine learning to identify both text and objects which can be extremely helpful in the reseller world. It is used to copy or translate text, identify objects, discover items, find visually similar items, and much more. Google Lens is a visual-based program that processes what you are looking at and then attempts to identify it based on several factors. It’s free to use so it is a great tool that won’t break the bank. You just snap a photo of the item in question and Lens will generate several possible results and rank them by relevance. It is always interdisciplinary in nature and fascinating in genre, just like aligning digital marketing to machine learning.If you are a reseller, Google Lens can be an invaluable tool when you are trying to identify an item. Applications like Google Lens are acting as true companion to online business world by leveraging the power of machine learning and content based image classification. The biggest challenge in recent times is to predict consumer behaviour which is altering with every passing minute. We are obsessed with the term digital marketing these days. It has not only identified the brand but also provided suggestions for places to buy the gadget online. The output is amazing as we find it here. The yellow dot on Sony has not only identified the brand, but also it has recognized the product. Let’s have a look at it’s impact on branding and digital marketing. So, how it relates to our daily lives? Is there any relevance of it apart from explaining it with technical jargons? The answer is yes. Google Lens is an application which is using this technology to help you search what you see. or by deep learning based techniques.īoth handcrafted and deep learning based feature extraction techniques follow this feature extraction step with their corresponding algorithms before performing the final step of image recognition. of an image which is extracted with popular techniques of image processing like binarizations, image transforms, etc. Thus, the image is visible to the system in the form of it’s significant features as shown below:įeatures, can be based on attributes like colour, texture, shape etc. The above image can be represented to an algorithm without tagging it with a text.Īpplications like Google Lens exploit and identify the significant features of the image to understand it by content without any text tags. It’s lot more easy to describe an event or matter with an image rather than writing some 1000 lines to illustrate it. We do so to create memories which remain visible and hardly need any words to describe in future. Most of us, if not all are in the habit of capturing images with our cell phone cameras of moments and objects we come across. How is this possible? Let’s have a background check about the method followed by an application implementing content based image classification. It has phenomenal impact in enhancing brand names of organizations as well as contributing towards revenue earning. It is a fascinating application of content based image recognition. It’s your personal recommendation engine! It is an application based on machine learning algorithm helping you to locate things with images without describing it in words. Why is it here in the first place eating up space! We often wonder. It is hardly used since it is just not another interface like Pixlr for clicking awesome selfies for social media profile. Google Lens is available to everybody as an application in the cell-phones. ![]()
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