TinEye fans, we hope that you wrap up your week with as much excitement as we have here in the TinEye HQ! We’ve reached 10 billion images and are gearing up for the next 10 billion. And thanks for joining us in this awesome adventure.
Happy searching and have an awesome weekend!
Don’t want to distract you all by an angry baby, but that’s exactly what I am going to do after I tell you that we have added over 15 million images to the TinEye index bringing our index to: 2,155,840,279. Sit back, relax and click play. Enjoy! Want more, drop by!
I am sure you are wondering what does image recognition have to do with Obama? Me too! A couple of days ago – this is super old news for the blogosphere! – James Danziger posted about how he spent months searching for the original photograph that Shepard Fairey used to create his Obama Hope image. I am sure you have all seen the Obama Hope work?
TinEye fan Jeff left us a quick note to let us know that he spied TinEye in action over on Digg. The post in question – Awesome Spaghetti Junction, what city is this? – included the image below and the simple question:
What city is this?
With an updated index and some behind-the-scenes tweaks, TinEye is now better than ever at finding your images in our index of over a billion images. And we just updated our TinEye Cool Searches, showcasing a new crowd of fun and interesting searches for you to explore.
What’s even better than a Multicolr search lab with 3 million interesting images?
One with 10 million Creative Commons images!
That’s right, the Flickr Multicolr search lab just received a facelift and now it works with 10 millions Creative Commons images from Flickr.
That’s right folks, we just added another 200 million images to TinEye (give or take a few million). Now you can search over 900,000,000 images in real time, comparing any image against our index of almost one billion images crawled from the web.
What does this mean for you, TinEye searcher? More matches!
Let’s try out a few example searches using the same images I used in an earlier blog post. Just a little over a month ago (when the index was a tad over 700 million images) we took a look at some well known pictures from across the web to see how many of them TinEye could find. Now we can try those searches again to see what kind of results will we get after adding almost a quarter of a billion more images to the index.
Jacqui Cheng from ars technica took TinEye for a spin and shared her thoughts on our image search engine, saying:
Our opinion of the site transformed from skeptical to impressed as we used it more and more. It’s obviously not meant for casual web browsing or finding out what that crazy animal you saw on the side of the road is. However, if you are trying to keep track of how your creations are used across the web, or you saw an image and want to find out where it came from, TinEye is incredibly useful.
And we are still in beta, building our index and working on some amazing new features that will make your TinEye search experience even better.
Read the rest of the ars technica review >>
Who knew a FAQ could be so convincing?
One of the great deviantART folks, posted a review of TinEye today. My favourite part?
At first glance the service by new image search engine TinEye seems to be a great way of seeing if there are multiples of any image on the web. After looking at their FAQ I decided I liked it a lot more.
Nice to hear that our TinEye FAQ rocks! We have tried to answer most questions that come to mind when you are a first time TinEye user and wondering what this search engine is really all about.