Multi Language Support - Imagga API
We are happy to announce we are adding 50 languages (still in beta) to Imagga Auto-tagging and Categorization APIs. The tags/categories that the powerful Imagga image recognition API returns now speak your language. All you need to do is to add the language parameter with corresponding language code you want the results to be displayed in. You can even add multiple languages (for example &language=de&language=fr).
Currently there are 50 languages supported with the following language codes: ar (Arabic), bg (Bulgarian), bs (Bosnian), ca (Catalan), cs (Czech), cy (Welsh), da (Danish), de (German), el (Greek), es (Spanish), et (Estonian), fa (Persian), fi (Finnish), fr (French), he (Hebrew), hi (Hindi), hr (Croatian), ht (Haitian Creole), hu (Hungarian), id (Indonesian), it (Italian), ja (Japanese), ko (Korean), lt (Lithuanian), lv (Latvian), ms (Malay), mt (Maltese), mww (Hmong Daw), nl (Dutch), no (Norwegian), otq (Querétaroo Otomi), pl (Polish), pt (Portuguese), ro (Romanian), ru (Russian), sk Slovak), sv (Swedish), sl (Slovenian), sr_cyrl (Serbian - Cyrillic), sr_latn (Serbian - Latin), th (Thai), tlh (Klingon), tlh_qaak (Klingon (pIqaD)), tr (Turkish), uk (Ukrainian), ur (Urdu), vi (Vietnamese), yua (Yucatec Maya), zh_chs (Chinese Simplified), zh_cht (Chinese Traditional)
Find out how to implement in Imagga API Docs.
You can see how auto-tagging and the language support works live on our demo page.
Not finding yours in the supported languages list? Talk to us.
Imagga Partners with Aylien
We are super excited to announce our partnership with AYLIEN - a natural language processing platform, that will make possible to add text analytics capabilities to our image recognition and analytics APIs. We believe this partnership will help users of both services better understand their multimedia content and do way more with it.
AYLIEN Text API is a package consisting of eight different Natural Language Processing, Information Retrieval and Machine Learning APIs that help developers extract meaning and insight from text documents. It can be applied in Ad-Targeting, Media Monitoring and Social Listening projects.
Imagga’s Image Recognition API utilizes machine learning, image recognition and deep learning algorithms to identify over 6,000 distinct objects and concepts and return relevant keywords that best describe what’s in the images.
Currently Imagga’s image analysis endpoint is being added to ALYIEN’s Natural Language Processing API, giving developers the ability to analyze text and images in one API.
Having access to two powerful technologies in a single API creates endless opportunities for businesses that need to deal with large volumes of user generated content. Users rarely input or share just text or images, so being able to analyze and understand both at once, gives amazing new opportunity for any business to distribute and monetize content.
Together with AYLIEN we’ve been testing how our technologies can compliment each other for some time and the results were very exciting. Text and images are different but complement well each other in many cases and applications.
You can try the new hybrid image and text analysis service here. There’s nice demo to play with before you are finally sold (you can see the results for some sample images, but also can upload your own)
Analyzing Text and Images: Webinar
Happy to announce an upcoming webinar together with our platform partners Ontotext. The webinar on Self-Service Semantic Suite (S4) will take place on Nov 12th (11am ET / 8am PT / 4pm GMT) featuring Ontotext CTO, Marin Dimitrov as well as a guest speaker Georgi Kadrev, CEO of Imagga.
S4 provides on demand access to text mining and linked open data technology in the cloud. Using the platform you can quickly and easily build smart data prototypes at a fraction of the cost of enterprise solutions.
Georgi (@imagga) of Imagga will be covering the newly available image analytics capabilities into Ontotext’s Self-Service Semantic Suite (S4) platform. Thanks to powerful Imagga auto tagging & categorization API, S4 users will get more insights not just from the text but also from images on the web pages they need to analyze.
Marin (@marin_dim) from Ontotext will be covering some new exciting features of Ontotext Semantic Suite as improvements of the RDF graph database-as-a-service, new Python SDK for S4 as well as Product roadmap and new features currently in development.
Don’t miss the opportunity to learn about the Self-Service Semantic Suite (S4) – register for this event now!
Faster & Better Image 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!
Imagga @ 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.
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.
New Classes in Tagging Classifier
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
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.
#seedhack presentations from the panelists.. Gearing up for the main ones coming soon! https://t.co/75My1vO5BN
— Carlos Espinal (@cee) July 6, 2014
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.
Now we have @imagga discussing how you can monetise images using an auto-categorisation API #Seedhack pic.twitter.com/SQnyF9yMd2 — seedcamp (@seedcamp) July 4, 2014
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.
"Think first. Move fast. Remember the demo" 3 #hackathon survival tips after our 5th #Seedhack http://t.co/kyQuTtDLBN pic.twitter.com/yvPIhjsVcu
— seedcamp (@seedcamp) July 24, 2014
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.
#seedhack presentations kicking off now!!! #seedcamp https://t.co/7zsa3GdKjQ — Carlos Espinal (@cee) July 6, 2014
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.
Live demo from DevStats, created to track how many hours you code a day, how fast, and how effective #Seedhack pic.twitter.com/L1yangEYej
— seedcamp (@seedcamp) July 6, 2014
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!
Imagga @ LDV Vision Summit
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.
"Why are photos so valuable? Because they are our memories"-@nisselson @LDVVisionSummit pic.twitter.com/qnVtvyUldi
— Erick Schonfeld (@erickschonfeld) June 4, 2014
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.
"Gif is the video of the ADD generation", Om Malik #ldvvision. pic.twitter.com/LMqCJagPE0
— Kaptur (@KapturMag) June 4, 2014
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.
Photo Hack Day Japan - Imagga Prize
It’s exciting to take part in photo hackatons. We’ve been to several during 2013 - Photo Hack Day Berlin, Photo Hack Day Melno Park, SeedHack in London to name a few. This time we were not present physically but that did not prevent people from using Imagga APIs.
Over 120 hackers and supporters gathered on Feb 22-23rd at Mixi’s office for an awesome hacking experience. Sponsors of the event were Mixi, Shutterstock, gettyimages, 500px, Leap Motion, Amazon, Mashup9, Recruit, EyeEm, Pux, XLoudia, Sendgrid, Zenrin, FlashFoto and Adobe and we at Imagga are quite happy to be listed among this great innovative companies.
As any serious hackathon it all starts with opening remarks of the organizers and API partners presentations just to be followed by the creative chaos of team formation, idea generation and hacking over lots of fried rice, shushi (it’s Japan after all) but also coffee, tea and beer. It’s great fun and we were a bit jealous we’re not physically present.
23 teams have been formed and were judged based on originality of the idea, overall value of the application and technical achievement. The tree overall winners of the hackathon are:
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Back to the Future - visual learning app that allows you to "walk through time” via an interactive interface.
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Before the filter - Android app that teaches would-be photographers the fundamentals of Photography
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VOCA Getty - innovative photo dictionary app that uses images sourced from Getty Images to help users learn a language visually. The team used Imagga APIs.
We were excited that 3 teams actually activated, reviewed and used Imagga APIs during the event.
Our special $2299 in credits prize goes to Imagic Workbench, a smart keywording tool which employs object recognition technologies to automatically keyword your photos. Imagic Workbench is a project of TT and Nego and we really hope they will follow up and make an awesome product for image tagging.
Stay tuned for our next hackathon participation, it's fun!
Interested to try our auto-categorizatiom? - signup for a free account at our Playground
Blitline Integrates Imagga Auto Tagging
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.