Hipster bar is where only hipsters are allowed! How do you reinforce that? With a physical doorman who’s job is to ruthlessly send back guys without beards, or, in the case of the Max Dovey’s project - using Imagga’s image recognition technology. The hipster bar was open to the public for the duration of WdW Festival 2015.
Let’s get into the details of this quite unique usage of Imagga’s powerful image recognition technology. To enter the bar, you need to stand in front of camera that snaps a photo of you and then sends it to Imagga servers. Then the tech analyses your look and as result returns how certain the system is you are a hipster.
If you are found over 90% hipster, the door of the bar will open and you can join great company of people that are hipster enough.
Hipster is quite loose term and usually is used to describe a subculture of people who attempt to keep up to date with the latest trend and remain 'hip'. These are men and women in their 20's and 30's that value progressive politics and independent thinking, and often have appetite for art and indie-rock & counterculture. Of course being hipster includes certain look - thick rimmed glasses, tight-fitting jeans, old-school sneakers, side-swept bangs and beards (men only).
Max Dovey, an artist from Rotterdam, who initiated the project, sourced thousands of images of hipsters to be used by our team to build a special hipster deep learning mode. The specific classifier was able to easily distinguish between snaps of hipsters and all the rest. Here’s how it actually worked:
Have another crazy idea? Don’t hesitate to try it out - with our custom training only the sky is the limit... if you are hip enough ;)
by Chris Georgiev
We are excited to announce some changes to our API pricing policy. We’ve got lots of feedback and requests for more affordable ways to access our APIs.
Today, we are announcing Developer Plan for Imagga APIs, priced at $14/month that will allow the use of one of our APIs with up to 12 000 calls a month (3000/day, 2 requests/second). We believe this plan will bring on the table flexibility and the opportunity to apply our breakthrough technology on a more affordable price.
Hacker plan remains free but we are reducing the monthly calls to 2000 (200/day, 1 request per second) and will be available as before just for image tagging API.
We are eager to see you how gonna apply our technology in your projects! Send us feedback and any ideas you have regarding our technology offering in general or any tip you want to share.
Super happy to announce our magical Auto Tagging API has been integrated into the Blitline image processing platform! Besides smart cropping, now Blitline offers to its customers the ability to add meaning to the images in a fast and convenient manner.
Integration is quite easy if you are already familiar with Blitline. You will be surprised how good results are, at least this is what initial users of the service state! It’s Imagga’s machine learning core that does the job, not some mechanical turk guys reviewing and manually annotating your images. So your privacy is kept and you are getting the job done faster than any army of keywording specialists can do.
Some of the tags that Imagga’s Auto-tagging API returns are far from perfect, but we are constantly working to improve the algorithms and broaden what we know about the world represented in images. The system is currently trained for the most common types of objects and concepts and we add more constantly. If it’s not working well with your set of images, we can train the system for your specific needs, simply contact us here and we’ll be happy to help.
If curious what the Imagga Auto-tagging API can do for you and your untagged photos, give it a try here and share your feedback with us.
We've recently released Imagga Auto-tagging API and there's serious interest in using the technology. With auto-tagging now it's possible to automatically assign meaningful tags to any picture collection, no human intervention whatsoever. As any technology where machine learning is involved, there's a lot of room for improvements and tweaking the algorithms so they give best results in most of the cases.
Recognizing as many different objects and concepts as possible is very important for us. We are constantly adding more classes so our tagging classifier gets better and better. In our latest update we've added over 250 popular keywords that we found out were missing in the previous version.
You should definitely give it a try and let us know what you think. Sign up for access to the API here - Any feedback is welcome.