Apollo App Uses Imagga APIs to Help People Get Current Imagery from Places of Interest

Apollo App

Photo hack days are great fun and we are always surprised by the creativity and sometimes crazy ideas hackers have. Even though we were not physically present this time.

The runner up for Imagga API award was team Apollo, named after NASA’s Project Apollo, which gave us the first images of man walking on the moon.

“Our team began with the premise that mainstream photo sharing is characteristically narcissistic. As photo sharers, we often tie our own self-worth to attributions of our digital self. If we could make photo sharing altruistic, there’s a chance that an entirely new set of content would be created”, shares Joe, one of the guys behind the idea.

On AirBnB, public attraction and school websites we see polished images that sometimes do not correspondent with the current conditions of the place. Quite disappointing to head to a well deserved vacation just to discover your hotel hasn’t been renovated the last decade and the photos based on which you booked are heavily photoshopped.

The solution allows users to request a photo from other users that are currently present in a specific location. All users in that location would then receive a notification requesting a photo, and all of the photos for a given location are respectively tagged and stored in an image database.

Apollo Team presenting at Photo Hack Day NYC

Apollo Team presenting at Photo Hack Day NYC

Photos are curated by location (utilizing FourSquare’s places API) using both user requested photos and those from existing content sources (e.g. ShutterStock, Behance, FourSquare). Imagga image recognition API was used for photo tagging and Twilio was implemented to make a photo request via SMS.

As a hypothetical use case, think of a prospective college student that wants to obtain a more realistic view into dorm life at the universities they’re considering. The student could request photos from dorm room locations at their target schools and current students share a photo of their room. It can also be used for inspirational purposes – say your are organizing a party at a hall and want to see how other organizers used the space and to get ideas for your own party.

“Imagga’s image recognition API quickly became a huge asset to us as we built out Apollo, enabling our team to intuitively apply relevant tags to the photos that comprised our image database.”

You can find more detail about Apollo App on Challenge Post.

We are really looking forward to see how the idea unfolds and becomes a real project.

There are thousands of ideas that Imagga API can help you make reality. Sign up for Imagga API and start hacking for free (or send us a request for special startup discount for bigger API volume)

Imagga to partner Photo Hack Day NYC

Photo Hack Day NYC

It’s already a tradition to take part as partner at Photo Hack Day, organized by Aviary. Photo Hack Day this time is in New York, and is organized for 4rd time (Imagga partnered the second and third editions of the event in Facebook HQ, Melno Park and in Tokyo, Japan). The hackathon brings together talented developers and designers to build amazing image applications using web and mobile photo APIs. This edition is sponsored by Shutterstock, with API partners like Walgreens, Astra by Photoshelter, Foursquare, Filepicker, Twilio, Behance, Shutterstock, Aviary and of course Imagga.

We are giving free usage of our APIs for all participants during the hackathon, 6 months free of our Pro plan (worth $2,094) for the best use of our API & 6 months free of our Indie plan (worth $474) for all teams that use our API.

Here are some good idea how our API can be of help:

  • Personal photo organization app based on auto-suggested tags or categories
  • Twilio-powered app where people can automatically text SMS/MMS by taking a picture: for example taking a photo at the beach and sending it with auto-text “Having fun under the sun :)” or a concert photo with auto-text “the band is killing it!”, etc.
  • Dropbox/Box/Copy app that tags your photos and make them searchable
  • Pinterest image analytics tool that tag or categorize all images from an user/pinboard/whatever and shows the distribution of the different type of content, for example 15% dog photos, 19% cat photos, 65% horse photos, 1% pizza photos

It’s awesome to take part in photo hack meetups. Will keep you posted about the results and the great implementations as result of the hack day.

Photo Hack Day API Partners

Imagga @ Telerik Hackathon

Georgi Presenting @ Telerik Hackathon

After the exciting news of Telerik being acquired for over $260M last week it feels extremely exciting to report Imagga’s API partnership at Telerik Hackathon. Being part of developer events like that reminds us of why we actually do what we do. Feels rewarding.

Imagga APIs help developers to quickly master any image data and extract meaning with the speed of light. Uses are numerous – you can extract color information and implement color search, classify images in predefined set of categories, extract keyword tags out of not annotated photos, even get the system learn from user feedback and improve  the recall.

Telerki Hackathon

Georgi presented Imagga API’s during the opening of the hackathon. Over 200 eager developers got excited about the awesome ideas they were about to build during the weekend. Three of the formed teams requested access to the API and it was our pleasure to walk the teams through the APIs.

Being part of Telerik Hackathon perfectly aligns with what we at Imagga intend to do. Reaching out to the dev community is important part of our strategy to make image recognition mainstream and showcase how Imagga technology can be used to solve real world problems and help harness big amounts of visual data that bombards us on a daily basis.

Blitline Integrates Imagga Auto Tagging

Imagga Auto Tagging Blitline

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.

Faster & Better Image Tagging

Image Auto tagging

Dealing with images is still complicated and time consuming process. You never take the time to organize that vacation photos or add tags to your growing image collection. We can do that automatically for you thanks to our auto-tagging technology. There are two ways if we want to do it really fast – to get more powerful machines or to speed up the algorithms responsible for this. Actually we did both, but lets pay some attention to our improved image tagging algorithms. Tagging is faster than ever!

GPU comes to help image recognition and thanks to it we are able to do things impossible (or ridiculously expensive) several years ago. We just ported all components of our tagging to take advantage of GPU acceleration and the result is about 5 times faster tagging! GPU is a bliss for image intensive technologies as ours. Actually the biggest portion of the time we need  for tagging an image now  is used for retrieving the image to be tagged.

With significantly faster tagging API now we can handle even larger image volumes and this can be done simultaneously for hundreds of users. Real time tagging is made very attractive and we are already testing with several clients.

Intrigued how fast the tagging is now? Why don’t you sing up now and test it yourself!

New Classes in Tagging Classifier

Imagga Auto Tagging

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.

Imagga @ Seedhack lifelogging hackathon

Georgi SeedHack Imagga

Copyright @seedcamp

It has become a good tradition to take part in Seedhack hackatons. This is our 3rd one as API partner and we can’t be more happy to support and learn from events like that.

This time the theme was lifelogging (previous themes were hacks for fashion and remixing content) and gathered around 100 eager hackers on Friday night. The lifelogging topic is still under-explored but there’s a lot of promise, especially with giants like Apple and Samsung investing heavily in not just software but hardware to advance this trend.

Friday night is exciting for the partners of the event – they get their 5 min on stage to present what they have in store for the event. Facebook did present their back-end platform Parse, PayPal – integration options including BrainTree, and Georgi from Imagga our new and hot API for automated image tagging along with the powerful image categorization API.

The rest of the event by tradition belongs to the hackers itself. 17 teams have been formed and got their hands dirty on solving world problems. It’s alway awesome to meet and talk with minds so bright. About 15 people came to talk about our APIs and different ideas they have either for the hackathon, or about something else they do in their jobs or projects.

It’s amazing how much people are able to achieve in 48 hours when they work focused on a problem and collaborate in a team. So much you need to consider – get the right people on the team, with good moral and excellent skills, quickly pass through the technology stack, feature list discussions and start hacking, then validate your ideas, pivot and validate again, talk to people, incorporate their feedback, ignore some, hack more, prepare a deck, rehearse it, get pumped for the public presentation, win.   The team that used our auto-tagging was Snipik – social review blogging platform. The winner of the hackathon is Calrity – “a smart calendar client that understands your context, gives you insight into how you spend your time and seamlessly organizes your future” – amazing progress implementing a complete prototype in just two days. They’ve also wrote an amazing blog post for Seedhack unveiling the whole experience during the event.

One of our favorite teams, Dev Stats won the special prize. Dev Stats is a keystroke counter plug-in for Sublime (Nike+ like tracker for programmers, geeks and nerds ;) They also won the “most likely to catch you slacking at work” award.

Some funny awards followed. The “dirty dancing” award went to Motion perfect – Kinect-based software to detect your fitness moves and help you control the quality of your workout. The “Tony Stark award” for highest achievements of a one-man army went to Popular – logging your offline social life. The “most likely to wake up a sleeping baby” presentation award went to Mr. Zen – advice from voice based mood logging.

Hackathons are one of the best type of startup events to attend and also partner. You meet with awesome people, movers and doers, get inspired and go home with hope and urged to move things faster in your own company. Definitely will be attending some more hackathons. See you there!

Parrots and the rainy days at Imagga

Parrot visiting Imagga's office

It’s summer like no other. Weather has been crazy for the last couple of months. Sofia fills like it’s hidden somewhere in the rainforest. It’s happening over and over again – late afternoon showers, couple of times with hail.

Some people say rainy days are good for a day off with a nice book. Well, at Imagga we do that, but with our Macbooks (and several Windows machines). Weather can be inspiring, even for startups – to learn and work harder. Specially when you have two roof windows at your office. And parrots pay a special visit!

Tinder, Tigers, and… Tagging

It’s sometimes striking how fast some crazy ideas go viral nowadays… and the tiger selfies on Tinder :) make no exception, going far enough to escalate to the attention of the New York State Assembly.

Funny (or not), taking selfies with tigers, and eventually using them as profile pictures, is not allowed in NY any more, unless you want to pay the $500 fine for a few seconds of glory.

Being an image recognition company, especially focused on auto-tagging, it seems to us like a piece of cake to detect if there is a tiger on the image! Here is an example:

 

Tinder, Tigers, Tagging

Tinder, tigers, and tagging

You can see the sample test here and upload/paste a tiger selfie (not yours of course) to try it out.

And this could be used via API access by Tinder to warn users… or by the state assembly to detect them ;)

Just another (weird) validation how widespread image recognition could be nowadays… In any types of apps and use-cases, as images are becoming the ultimate way to communicate and express ourselves so easily, thanks to the cameras in our pockets.

Have an awesome idea that would greatly benefit from automated image tagging? Just sign up for free here and give our auto-tagging API a try.

Imagga @ LDV Vision Summit

Imagga @ LDV Vision Summit in NCY
The LDV Vision Summit brought  together world’s top imaging technologists, visionaries and investors to share and shape the future of image and video recognition technologies.

Organized by Evan Nisselson, LDV Capital the summit was held in NYC to showcase how imaging and video technologies are empowering and disrupting the our day to day life and global businesses.

Visual web is upon us. Images and video are starting to dominate all web channels we are collecting data and impressions from. It’s not just the digital cameras and smart phones, but also drones equipped with cameras that will basically record and archive important moments.  This will  eventually enable us to take part in moments, conversations and event we couldn’t attend or be physically present.

The advance in GPU power, machine learning algorithms, well labeled data and some magical tricks implemented by various researchers and startups working on image recognition will eventually create new ways of exploring the visual web  - collection of personal and common image and video experiences.

It was exciting to see Georgi presenting Imagga on stage of LDV Vision Summit as one of thoroughly selected startups developing image recognition products and services. On stage were as well  Eugenio from  teradeep,  Alex from visiosafe  and Chris from TAG Optics. Quite good company. Some of the exciting lectures at the event were Camers – Video, Still & Wearable with panelists Martin Kallstrom from Narrative and Flo Meissner from EyeEm. The panel on Recent Progress in Computer Vision using Deep Learning with Rob Fergus from Facebook artificial intelligence lab was also quite interesting as it tackled the technology challenges we are facing with Imagga’s image recognition technologies. The Future of Image Recognition discussion session with Serge Belongie from Cornell NYC Tech,  Gary Bradski from Magic Leap and Moshe Bercovich, Shutterfly set the trends for the next couple of years and was followed Trends in Visual Communications Technology from the investor’s perspective with the awesome Om Malik from  True Ventures and Evan Nisselson.

Imagga’s automated tagging technology is what we consider groundbreaking and with huge potential to contribute to the change we perceive image  content in the near feature. According to KPCB Internet Trends 2014 report over 1.8 billion photos are uploaded and shared on a daily basis. Most of image date is not properly keyworded or not tagged at all. Memories are stored in archives, in the best case somewhere in the cloud. Exploring this visual records of our lives, interactions, personal encounters and important moments will be of key importance in the years to come. Using machine learning and super smart image analysis, technologies like our tagging API will be able to bring back the meaning to important moments, shorten the time we dig for them, automatically highlight the best quality content and feature significant events.

Beside the imaging summit, being in NYC is always exciting, especially for image intensive business like Imagga’s. So many of our current customers are headquartered in NYC, so couple of extra days were well spent on biz dev meetings. Thanks to the summit we’ve got quite valuable new prospects and couple of partners.