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The umbrella term which covers the definition of a reverse image search is Content-Based Image Retrieval (CBIR).
You can also upload an image from your desktop or paste the URL of the image into the search box.
Google uses computer vision techniques to match your image to other images in the Google Images index and additional image collections. The search is pretty fast; it gives you the source of the image, compare modified images, and check if larger versions are available. TinEye also has browser extensions available for Chrome, Firefox, Internet Explorer, and Safari. The best news with reverse image search is that you don’t need to guess, worry about the spelling, or type any more. We thought we’d take this opportunity to show you How To Use the Reverse Image Search and demonstrate how it rendered our contest useless. Let’s see the results and find out just how many websites thought headset girl should represent their company.
Google Image is now more advanced and intelligent which now lets you do reverse image searching.
As soon as you upload you image, Google Reverse Image Search engine scans it and immediately searches and displays the best possible matching similar images on the web. The image search results, after scanning, shows not only those images that are visually similar but also shows all images that are similar in size of your uploaded image. If you think that the search results isn’t showing you the most relevant images, then you still have an option to add little description in the search box to tell Google what the image is really about. There’s now limit of image size, you can upload very larges images as well, but that will require detail description to get the most accurate results.


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If you follow the news via social media, you see all kinds of photos floating around the Internet, purporting to depict some big event. For example, on Twitter, I just saw this post purporting to be from Venezuela right now amid their latest shortages and riots.
After uploading the above image, I get this, which takes me to a link showing the photo has been online since at least 2013. TinEye is a reverse image search engine that has managed to hold its own against the competition.
The plug-ins allows you to right click on any image on a webpage and do reverse image search. Unfortunately, before we had a chance to implement our contest, Google launched the reverse image search feature.
Now you have two options: Either drag the image from a website into the search bar, or upload your own image.
In reverse image search, you give your image to the search engine which searches for all visually similar images on the web and shows you the best possible and closest matches to your uploaded image.
You can insert the URL of any image, or upload your own image if you have it locally on your system. The interesting and fun part is that you can drag and drop your images directly into the image search box without clicking that camera icon.


This would help the search engine filter out the images that looks similar to your image and given description. You can actually just click, drag, and drop into the Google image search bar and it will find the image. Here, Reverse image search comes to the rescue: it’s a special type of search that takes an image instead of a keyword and retrieves similar images.
Reverse image search proves useful if you are trying to recognize faces or identify objects. Your search results page can show results for that text description as well as related images. If your browser does not support browser extensions, TinEye covers it with a bookmarklet that submits the image URL to the reverse search engine. In the past, we had reviewed TinEye – a reverse image search engine that is the most popular and widely used. Think that you are searching for a similar kind of furniture to the one you have a photo of. Another vital use could be searching for your copyrighted images being used by someone else.



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