Tineye reverse image search series#
TinEye can find similar images elsewhere on the Internet with possibly a higher-resolutionĢ) Got a damaged/distorted image? Get TinEye to find the full, complete image for youģ) Find the original collection series where the image came from. – Very often designers find a low-resolution version of the perfect picture they want. I am unsure of how TinEye is going to catch up and index all the billions of images out there especially since tens to hundreds of thousands more are uploaded each day.įrom my 1 hour+ of fiddling with TinEye, I can see what I personally, and a few others will be using it for:ġ) Finding more higher resolution pictures of an image So if you saw a picture of someone and wanted to find more pictures of the person from different angles, you wouldn’t be able to do so unless you somehow successfully identify the person and do a text search on Google Images (or have TinEye integrate iPhoto’s face recognition algorithm into their engine).Īlso, TinEye’s database is now very small so images that are not popular on the web usually returns 0 results. For example, if you try searching for any image of a human face, all you’ll get is the exact same angle and face with some parts of the picture matching. Although it can search objects it is unable to match them when they are at different angles.
Like all systems, TinEye has a weakness as well. Check out this demo video:ġ) Similar but in a different perspectiveģ) Matches that have been designed over by other elements. Yes, their algorithm is able to find you not only images that are exactly the same but also images that have matching parts! You can choose to either upload your image or provide the address of the online image. Note that by similar, it does not mean only fully but also partially similar images. TinEye is a reverse image search engine where you use images to search for other similar images around the web. However, I went on to give TinEye a try and in return, found myself fiddling with the site for over an hour! Following the discussion at the Future of Search forum last year, it was well understood that there is still the issue of defining the grammar that will help machine understand images. When my friend told me about a new image search engine, I was skeptical. Jan – Feb: Busy with Chinese New Year and startup!
To give you a summary of what I’ve been up to:ĭecember – Jan : was in Dubai for a little over a month (Yes, I will blog about my travels there soon!).