Research consortium with 30 leading European organizations including Imagga, ITI, DW and IBM was granted 12M EUR funding to improve the use of AI for media in the next years

We are happy to announce Imagga is taking part in a high-impact project run by a consortium of 30 renowned academia, research, and enterprise organizations. AI4Media, which is funded with a total budget of 12M EUR by European Union's Horizon 2020 Research and Innovation Programme, will focus on delivering the next generation of core AI advances to help media meet the constantly growing requirements but also comply with the core EU values of trustworthiness and ethical engagement. 

Currently, the European AI landscape in the field of media is quite fragmented. AI4Media aims at establishing a networking infrastructure to foster deeper and long-running interactions between academia and industry. A big portion of the project will be dedicated to media AI research and ways to implement the findings in the currently available on the market media solutions. 

In the last 2 years, Imagga has packaged many of its AI technologies into a software solution for telcos, media companies, and platforms. We have built a solution for the automated organization of very large collections and archives of photos and videos. 

Through the AI4Media project, Imagga will build onto that and create a solution that can automatically (re-) organize photo and video content typically used by media companies.

Along with the photo/video content organization for media, we are already busy working on a demonstrator capable of utilizing Imagga’s AI for media content moderation, helping companies and organizations comply with the strict safety and privacy regulations and serve content that’s appropriate for the public eye. By analyzing content, Imagga's technology can flag NSFW (“not safe for work”) content to easily identify problematic pictures and create automated filtering mechanisms, crucial for platforms that rely heavily on user-generated content.

AI4Media project aspires to widen the network of researchers across Europe and beyond, to foster the development and adoption of AI technologies for media solutions. At Imagga we are thrilled to be part of this exciting collaboration. We strongly believe the outcomes will have a significant impact on the competitive advantage of the European AI industry and especially the media sector.



Response to COVID-19 Outbreak

The world as we know it has significantly changed. We all planned for a good and prosperous 2020 year, but the coronavirus pandemic has shifted everybody’s focus from economic growth and prosperity to keep what we value the most - our lives and the lives of our dear ones.  

At Imagga, we are taking the COVID19 pandemic seriously and have taken actions to safeguard our team members and their families. By taking care of ourselves, we also want to make sure we will be able to care about our valuable customers: being able to respond in a timely manner and support them whenever they need help.  

In challenging times like that, we’ve taken the following measures to make sure all Imagga staff is safe and operational: 

  1. Home office.

    We’ve always been a location-distributed company, and half of our team works remotely. We’ve canceled all in-person meetings for the foreseeable future and introduced a strict work-from-home policy. Most of our operational meetings so far have been online, so we are well adjusted to the new norm.

  2. Getting through it all together.

    We encourage all team members to stay in touch with each other in this challenging time for us and our society. We are aware you and your team might be forced to work from home too. We will be here to support you by shortening our response time and providing you assistance in any technical issues you might be facing regarding our APIs.

  3. Supporting local communities and global fight with COVID19.

    If you are part of a team researching COVID19 and its effect on society, we will be happy to provide you with assistance for Imagga’s AI custom training and free access* to our APIs. We will be happy to run jobs on our amazingly powerful in-house NVIDIA DGX Station and help you build fast a custom AI model addressing the COVID19 challenges.   


* Note: For free access to our APIs, custom training, and any other technical issues, please, contact us via email with details of the project, expected usage, your university, or non-profit research organization. 

EU Gateway Thailand

Imagga 2019 Rundown and Plans for 2020

What a year! 2019 was nothing less than super dynamic for us, and we feel super energized and in perfect shape to carry the momentum into the rest of 2020!

First of all, we want to thank all of you who have been with us on this journey - making image recognition work for businesses big and small. Image AI is not just a hype, but something very practical - we help cut costs and save time, making processes more efficient and opening new business opportunities.

We are proud to share with you a summary of what we were able to achieve together in 2019. 

New Releases

We managed to develop further and publicly release multiple technology offerings that were in the makings and only accessible to a closed circle of customers.

Visual Search

Through Visual Similarity Search API, you can now implement image-based search capabilities into your software systems and applications. Fashion retail, e-commerce, and household goods leaders are using it to make product discovery easier, offer product recommendations and alternatives to products out of stock. 

Face Recognition API

We are excited to share that our Face Recognition API has been recently released to allow companies to unlock precise and robust face detection and recognition functionality in their applications and systems. Besides the obvious need for facial recognition in security applications, facial recognition for marketing and retail has been successful.   

Object Localization

As part of our Custom Model Training, you can now take advantage of positional detection of whatever type of objects you need. This approach has been applied successfully in cases ranging from detecting guns in images to finding defects (each defect virtually being "an object") in Industry 4.0 content to AR in mobile gaming.

Edge Deployment 

We successfully ported our classification and object detection technologies to run smoothly and efficiently on the edge. Currently, we support the two major mobile ecosystems - iOS and Android. We also started offering a unique hybrid model where part of the image analysis happens on the edge, and the real, heavy-lifting processing is done in the cloud.

Wordroom - Lightroom Classic Plugin 

Last but not least, we managed to release a significant update of one of our consumer-oriented "pet projects gone popular" - Wordoom. It's a plugin for Adobe Lightroom Classic that automatically suggests up to 30 keywords per photo and ingests them in the image metadata. It got featured on DPReview, resulting in lots of positive feedback and suggestions for features. We published Wordroom's public roadmap to track all the ideas and help our users see when new features will be released.


New Developments

We started two significant projects aiming to deliver to our customers even better solutions built on top of Imagga's AI technologies. 



Content Moderation Platform

One of the most significant developments we ignited in 2019 was our Full-Circle Content Moderation Platform. If your project operates with user-generated content, you most certainly need to monitor it and remove illegal and abusive pieces to guarantee the safety of your users and protect the trust in your brand. Our solution handles every aspect of the content moderation process, providing automatic filtering of unsafe content in images, videos, and live streaming. Read about its capabilities and let us know if you have any feature requests.

On-Premise Ver. 2

Our on-premise solution has always been a critical differentiator to cloud-only offerings. We started a major update of its internals to allow even more comfortable handling of scale when you need to use your infrastructure. Stay tuned for the upcoming release. 


Signature Customers


We successfully continued our long-term partnership with PlantSnap, the best plant identification application on earth powered by our technology to recognize more than 100,000 different plant species. PlantSnap is currently fundraising and on the verge of several huge partnerships, so make sure to take a seat on the rocket ship.

World-Class Game Development Studios

AI is getting deeply integrated into any aspect of the digital world, and gaming is not an exception. We signed several major customers utilizing our technology for use-cases ranging from on-device object detection for AR experiences to internal assets organization. 

Wrist Watch Super Brand

Traditional industries may also benefit from image recognition, and we helped one of the most reputable brands in the world to classify wristwatches in an automated fashion.


Key Partnerships

Several partnerships played a crucial role in our success this year and felt nothing but gratitude to the companies 

Humans in the Loop (HITL)

Thanks to our close partnership with HITL, now we can handle the whole process after the problem definition, including data collection and data annotation. This way, we close the circle of AI services that aid customers interested in our already established ML custom training, optimization, and deployment.


We started a collaboration with L3C to offer full hardware+software solution to the UK and European customers, taking advantage of the robust IBM POWER 9 architecture. It turned out it's very well suited for massive model support because of its hardware topology that enables fast communication between CPU and GPUs. 

Eden Tech Labs

We started working with Eden Tech Labs, a mobile dev studio, as a close partner and integrator of our technology in various mobile and web platforms, solutions, and apps. 



IBM Power 9

We did evaluation and experimentation with large model support for semantic segmentation of cityscape and waste images benchmarking IBM Power AC922 vs. NVIDIA DGX Station vs. Amazon Web Services p3.8xlarge instance. Read about the findings of the benchmarking test here. 



We were able to utilize funding coming as a blend of European and local government grants for innovative projects to develop further our solution for better organization of personal photos with code name PhotoBox. If you already use (or plan to use) our technologies for that purpose, please let us know, and we will be happy to discuss the improvements there.



Throughout the course of the year, Imagga took part in various trade shows, industry events, and workshops. 

EU Gateway trade mission to Singapore and Thailand

One of the advantages of being an EU based company is that the European Union is providing substantial support in promoting and exporting innovative technologies like ours. EU Gateway trade mission made it possible to meet business partners in Singapore and Thailand. 

ML DAY Munich

Georgi did a presentation on the practical applications of AI in Retail and Content Moderation.  


Firechat discussion on the state of the art and future of AI in stock and media licensing along with panelist form Getty Images

DMLA Los Angeles

Georgi participated in the event and discussed the state of the art and future of AI in stock and media licensing along with panelists from IBM, Google, and CloudSight.

IBM Think London

Together with our partners L3C, we presented Intel POWER 9 experiment for business applications.

DAM Helsinki

We participated in the Digital Asset Management conference in the heart of beautiful Helsinki, where we presented to the industry how Image recognition and AI can improve workflow efficiency in DAM systems.


Pavel at DAM Helsinki


Team Expansion

A few things make a company happier than bringing more bright people on board. This year we were lucky enough to extend the team with experienced marketing professionals and young talent in the area of machine learning:

Ina Toncheva, Head of Marketing

Ina has 12+ years of experience in communicating and driving tech product growth in the digital environment for companies like Telerik, Progress, Chaos Group, and now Imagga. Her specialties include marketing strategy, content, product, and growth marketing. Over the years, she has launched numerous software products that have successfully penetrated new markets.

Petko Ditchev, Senior Machine Learning Researcher and Developer

Petko is a Senior Researcher at Imagga. He is a medical doctor turned developer. His focus is on cognitive science and its applicability in the field of AI. 

Mihail Mladenov, Machine Learning Developer and Data Scientist

Mahial is a software engineer and data scientist. He joined the Imagga team in June 2019. He is currently working on the practical implementation of A.I in the company projects and supporting them with extensive data analysis.

Ralitsa Golemanova, Senior Content Creator

Ralitsa Golemanova is an experienced content creator and writes for Imagga's blog regularly. She has created content and marketing campaigns for various types of businesses from across the world. 



It's rewarding when all the hard work a company does is recognized. We were proud to have our image auto-tagging technology ranked as one of the most precise out-of-the-box AI solutions worldwide outperforming competitors like Google Cloud Vision and Amazon Rekognition based on an independent technology evaluation by a reputable Israeli university. What is impressive is that we managed to be among the top performers in precision while at the same time being the absolute champion in recall! A trade-off that is not trivial to achieve.


Plans And Focus For 2020

We already started executing our ambitious plans for the new year with some very exciting updates to the core image recognition technology and AI solutions we are working on to release.

Content Moderation Platform 

Content Moderation was a hot topic last year with the apparent need for disruption. Currently, hundreds of thousands of human moderators have been working tirelessly to make our kids safe and prevent misinformation. Unfortunately, they are paying a high price sacrificing their mental health. Imagga's Content Moderation Platform is designed to get the advantage of our NSFW AI capabilities and aid human moderators in AI-enabled filtering out questionable content. 


We are busy building a personal photo organization solution for cloud platforms and telcos that will help the burden of organizing and later discovering visual content. 

We continue to dedicate efforts to better adoption of our existing technologies, focusing on Digital Asset Management, e-commerce, and factory management (blog post on our progress in this field), offering custom models and classifiers for various existing and new clients.

As always, we will be pushing significant improvements on Imagga's Core AI platform and also plan an update of the business model.

If you have read so far, you might be a faithful Imagga supporter! We are excited about the opportunities 2020 offers and hope you will join us one way on another in our journey. 


Metals Hackathon in Vienna

Metals Hackathon in Vienna and Industry 4.0 Opportunities for Image Recognition

If you read the technology news of the day, it looks like everybody is talking very seriously about AI. The awareness this creates is excellent, but it’s even better when companies from more traditional industries take up the task to experiment and find ways to apply AI into their daily operations. Companies from medical & health industries, metallurgy are finding ways to use AI and regain a competitive edge.  

We’ve participated in Digital Metals AI Hackathon organized in Vienna by and accepted the challenge to build an exciting new solution for AI-enabled measurement of metal parts. The goal of the hackathon is to generate the best ideas and create new solutions in a rapid prototyping format. 

Voestalpine and Primetals were the hosts of the event. By bringing together industry leaders and the best technology leaders from the startup world, the two industrial companies hoped to solve specific real-life challenges and identify potential collaboration opportunities for the future. 

Georgi & Georgi at Metal Hackathon

There were four predefined challenges that the participating startups need to address. We took part in one of the cases of Voestalpine: Measuring Steel Pieces with a mobile app. The Metals Division of Voestalpine, the market leader for tool steel, is focused on producing and processing high-performance materials. High-speed steel, valve steel, as well as powder materials, nickel-based alloys, titanium, and components, are produced using additive manufacturing technologies. 

The goal of the challenge is to develop a mobile app that uses the camera for dimension-measuring for steel parts. The app has to be able to measure the three dimensions of rectangular Voestalpine steel pieces using a photo or video. The use of an app will make the process more effective and less prone to errors. 

The way measurements are currently conducted is by measuring three dimensions with a tape measure and manually typing them in via a keyboard. It turns out to be time-consuming, leading to mistakes and causing frustration. The metal pieces that need to be measured are quite heavy and impossible to be moved around for better access or more convenient measurements. 

The atmosphere at the event was excellent, with funny ice-breakers, cozy, working areas, and mentors form the metal industry companies present at all times. 

Imagga Marker Setup

We were able to build an impressive rectangular steel piece measuring MVP using the Apple AR Kit, apply computer vision and computational geometry know-how to recognize markers in 3D space in less than a day. 

As demonstrated in the short video below, once the markers (we used parts of protein bars packaging as a set of improvised markers ;)) are positioned around the steel piece, the only thing the operator needs to do is to point the camera to each of them until it’s detected and then move to the next one. Once all three markers have been visible (sequentially, not needed to be at the same time as it’s not practical for long pieces), the system suggests the dimensions of the items in millimeters.Of course, the operator may go in manual mode and adjust the measurement if needed.

This whole prototype was built in less than a day after we found out the first evening that a solution trying to have all markers visible in a single shot won’t be practical for a long piece.

Our solution turned out to be promising. Some of the participants and judges couldn’t believe it might work even without full visibility of the three markers. 

We are exploring more practical applications of image recognition for smart factories. We believe we have just scratched the surface when it comes to automation and augmentations possible with current AI technologies. 

Below is a video demonstrating how our visual search technology can be used for recognizing different machine parts, something of enormous value when some repairing or replacement is needed, and there is a vast catalog of possible inventory.


Press Release: Imagga Launches the First On-Premise Solution

Imagga launches the first ever on-premise solution for visual A.I.

San Jose, CA. May 10, 2017. Imagga, a premiere PaaS provider of visual recognition now offers its image intelligence solution for deployment on private, local servers. Companies whose data cannot be shared in the cloud for various reasons can now fully benefit from Imagga’s award-winning content recognition technology.

With the introduction of its on-premise solution, Imagga breaks a new innovation barrier. Companies can now have access to best of breed deep-learning content recognition technology without ceding confidentiality of their data. While Imagga’s cloud-based solution already offers extremely high level of security and privacy, its on-premise solution goes a step further, for when data just cannot leave local servers.

“Our on-premise offering is the ultimate data control solution for companies like private cloud, law enforcement, medical, legal, telecom and highly sensitive corporate content. Installed on a local server, Imagga’s visual content recognition can process billions of images, all without leaving the company’s premises, “ says CEO and co-founder Georgi Kadrev. ”It delivers the highest degree of data security and privacy. No other image A.I. company in the world offers this level of control and security.”

Swisscom, an advanced user of the Imagga’s on-premise solution, regularly processes huge volume of images on their own servers: “Imagga impressed us with the quality of the recognition technology, recognizing both objects and broader scenic categories,” says Andreas Breitenmoser, Project Manager at Swisscom A.G.

Imagga’s on-premise solution can be deployed quickly and seamlessly on any servers with the appropriate technical requirements. The company has been working closely with NVIDIA, the leader in GPU high-performance computing, to optimize all its software to run smoothly and efficiently on NVIDIA GPU servers with Tesla and Pascal architectures.

Highly scalable, the on-premise solution delivers the same level of accuracy as the existing cloud offering, currently deployed by over 9,000 developers worldwide and implemented by companies like Cloudinary, Unsplash, Tavisca, KIA Motors, and Plex TV to process several billion photos and videos in the last year alone.


About Imagga

Imagga (  is an Image Recognition Platform-as-a-Service providing Image Tagging APIs for developers & businesses to build scalable, image and video intensive apps. The company has been recognized by IDC as one of the top innovators in its space for the year 2016. Built for scalability and easily deployed it offers auto-tagging, auto-categorization, smart-cropping, color analysis, content monitoring as well as custom classification.

For more information, please contact:

Georgi Kadrev

Paul Melcher

+1 917 304 3875


Media Files

Imagga logo -

Georgi Kadrev, CEO photo -


소개 /  기술 개요

Imagga는 개발자와 기업을 위한 사진 및 비디오를 자동으로 태깅 하는 클라우드 API 플랫폼을 제공하는 업체입니다 . Imagga의 기술은 기업이 보유한 대규모의 사진 혹은 비디오를 능동적으로 분석해 분류 및 관리를 할 수 있습니다.

Imagga는 머신 러닝과 CNN(Convolutional Neural Network 컨볼루션 신경망)  알고리즘을 통해 이미지를 정교하게 분석하고, 최적의 검색 결과를 도출하는 솔루션을 개발합니다. Imagga의 API를 이용하면 기업은 자신들의 이미지와 비디오 컬렉션을 분류하고 이로 인해 시각 컨텐츠를 현금화 할 수 있습니다. 또한, 이미지에 주석을 달 필요 없이 이미지 키워드 검색이 가능해져 사용자 경험이 향상됩니다.

기술 하이라이트

  • 딥 러닝을 통한 이미지 자동 태깅 & 분류 (CNN)
  • 클라우드 또는 온프레미스 기반의 RESTful API 솔루션
  • 개인의 이미지 세트/카테고리로 교육 가능한 시스템 ( 커스텀 트레이닝)
  • 대용량의 시각 콘텐츠를 분석 할 수 있는 솔루션
  • 50개 이상의 언어 지원(한국어 포함)

견적서를 받거나 혹은 미팅을 하시려면 연락 주십시오.

Imagga의 이미지 태깅 기술로 무엇을 할 수 있나요?

  • 한눈에 놀라운 정확도와 완벽한 자동화된 대용량의 사진을 태깅
  • 이미지 와 비디오 카테고리로 정리 - 알고리즘을 개인의 고유 데이터셋으로 교육을 시킬 수 있습니다  - 커스텀 트레이닝을 통해 개인 데이터 셋을 관리 할 수 있습니다
  • 개인 소유 이미지 콘텐츠를 이용해 사용자 프로파일링을 할 수 있습니다.
  • 이미지 검색을 향상 시킬 수 있습니다 - 컨텐츠에 키워드를 더할 수 있습니다.


태깅 API

Imagga 태깅 API는 사진의 픽셀을 분석해 물체를 탐지 하거나 특징을 추출 해 낼 수 있습니다. 사진을 대표하는 물체와 컨셉을 분석해 20가지 이상의 키워드를 추천해 줍니다. 여러 기업들은 이 키워드를 여러가지 방법으로 활용하고 있습니다. 그 예로, 사진 검색 기능을 추가 하고, 사용자 프로파일링을 하고, 트렌드를 분석 하는 방식으로 사용한 사례가 있습니다.


자동 태깅 API를 경험해 보시고 싶으시면 아래 링크로 접속 해 주세요


카테고리 API

카테고리API는 키워드 보다는 큰 분류 자로 사진을 분류 할 수 있는 기술 입니다. 모든 사진을 자동으로  정리 해  더 편리하게 사진을 찾을 수 있는 방법을 제공합니다. 개인 클라우드 저장소같은 곳에 저장해 놓은 사진을 더욱 쉽게 찾을 수 있습니다. 모든 사진을 일일이 확인해 찾는 방식이 아니라 "해변", "파티", 같은 카테고리로 사진을 찾을 수 있습니다.

자동 카테고리 API를 경험해 보시고 싶으시면 아래 링크로 접속 해 주세요



커스텀 트레이닝

커스텀 트레이닝을 통해 고객들은 자신의 필요에 맞게 키워드 혹은 카테고리를 정할 수 있습니다. 커스텀 트레이닝을 통해 고객들은 더 높은 정확도와 자신들만의 특별한 키워드를 지정 할 수 있습니다.

커스텀 트레이닝의 방법은 아주 간단합니다. 고객님이 카테고리와 그 카테고리에 맞는 샘플 데이터를 제공해 줍니다. 그 데이터를 이용해 시스템을 교육 시킵니다. 새롭게 생성된 분류자는 API에 쉽게 적용이 되 기존에 있는 시스템과 작업에 간단히 설치 할 수 있습니다. 이 방법은 사진에 주석을 달거나 분류를 수동으로 하고 있었던 기업에게 아주 적합합니다. 기존 분류 된 컨텐츠는 분류되지 않은 나머지 컨텐츠에 대한 학습 데이터 세트로 사용될 수 있습니다.

커스텀 트레이닝에 대해 더 자세히 알고 싶으시면 아래 링크로 접속 해 주세요


온프레미스 솔루션

저희가 이미지 인식 회사로서 최초로 발표한 온프레미스(사내 서버 직접 설치) 솔루션은 클라우드 버전과 동일한 신뢰성과 결과를 줍니다.

고객의 하드웨어와 OS가 최소 조건을 충족시키면 설치가 가능 합니다. 처리 할 수 있는 사진 개수와 처리 속도는 개인 서버 사이즈에 의해 결정 됩니다. 처음 설치를 할 때 비용과 시간이 더 소요 되지만, 직접 개발 하는 비용에 비해 훨씬 더 효율적입니다.

아직도 저희가 어떻게 도움이 될지 확신이 안 서십니까? 저희 대표 사례를 보시고 결정하세요.


기아 자동차

기아 자동차는 K5차량의 쇼케이스 캠페인을 진행했습니다. 개인의 라이프 스타일에 맞는 K5 모델을 자동으로 추천하는 형식으로 진행했습니다. 36가지의 다른 라이프 스타일에 맞는 옵션을 제공하였습니다. 차 엔진과, 색상 그리고 다른 디자인에 의해 추천을 완료 했습니다.

Imagga의 기술은 이 캠페인에서 개인의 SNS 사진을 분석하는 코어 기술을 제공했습니다. SEEDPOST와 협력을 통해 캠페인에 적합한 프로파일링 엔진을 만들었습니다. Imagga의 자동 태깅 API를 이용해 SEEDPOST는 이용자의 성향과 일치하는 K5모델을 자동으로 추천하는 엔진을 성공적으로 만들었습니다.

사용자 프로파일링에 어떻게 기술이 적용되었는지 궁금하시면 연락 주시기 바랍니다.


Imagga의 API는 스위스콤의 개인 클라우드 저장소에 온프레미스 솔루션으로 설치되었습니다. Imagga의 기술은 클라우드 저장소에 사진 검색 및 찾아보기 기능을 추가하는데 사용되었습니다.  저희의 기술은 실 이용자들에게 사진 검색과 찾아보기 기능을 제공하며, 이 기술로 인해 실제 프로그램을 사용하는 시간과 이용자를 증가 시켰습니다.

이마가의 온프레미스 솔루션에 대해 더 정보를 얻고 싶으신가요? 연락 주십시오.



Image Detection Bots and Imagga

Looks like 2016 will be the year of bots and almost all of them pretend to use some form of machine learning to do their job even better. Microsoft just released an image detection bot called CaptionBot. As all related to image recognition via machine learning, the bot does quite a good job detecting some concepts and quite a bad when it comes to others.

We always find it fun to compare image recognition services and see how Imagga performs with photos used by users. This blog post was provoked by a friend who posted this on Facebook:

It’s about an article on TNW about Microsoft CaptionBot written by Natt Garun and it’s failure to deliver consistent results. We love Microsoft and even use Azure and Microsoft's Translation tools to improve the language support for tags, but it’s quite tempting to run the test and share.

We’ve run the same photos included in the article through Imagga API demo, and that’s what our image recognition thinks about it. It’s still not perfect! Have fun exploring the results.

The first photo is of a home metal hook:

Metal Hook

We've nailed that one, seriously!

Asian girl in the gardenObvious description of the photo will be something like Beautiful Asian girl siting in a vegie garden. We are quite close to it with tags like yard, grass, outdors, people. Well, we didn’t figure the rase properly, but that’s something we are cureenlty working on and lots of imporvements coming in couple of months.

Asian Girl

There’s something about that photo that makes it difficult for the tech to figure out. We didn’t go exeptionally good job here. Well, at least we tagged with happy, witch is obvious from the shaning face of that Asian woman.


It’s obvious we do well with living creatures. Thanks good we do not need to figure out if they are male or female and how happy they are.

Darth Vader

This one is quite dificult as it brings alot of contect, that the machine need to know about. We haven’t trained for movie characters, but tags are in general good. Well, we can argue about the guitar - if you have wild imagination you can definately picture Darth Vader with guitar. Human do not apply much in this case, and we are happy with the low confidence level ;-)

Man Fetish

Ever wondered where do people come up with ideas for testing? This one is classic. Definately no surfboard and yes, it’s an attractive fashionable male model ;-)


Toy elephents may look like that in the forseeble future, but to us this looks like a man robot. Automation is all what robots are predestened for, right?

Man on the Grass

Can’t agree more that the person laying in the grass looks like an alligator. Tags like summer and grass bring a bit of balance to the results. If not accurate at least a bit closer then a cow laying down in a grassy field.



This one is quite though. What’s quite visible for a person to see, it’s not so visible for the machine, who’s lacking the context of the two mager objects on this photos.

Copy machine

It’s great idea to put bed next to any desk in the office. May be one next to the copy machine will not be that good idea - to much noice and traffic arround it.

Brown Mask

We’ve tried to describe this picture and results are not too bad ;-)

Gay Couple

Last but not least, we do not see donuts but happy, male cople in love. Well, we’ve got a bit of spicy results with less confidence as wife and caucasian, but still…

Imagga Appointed One of the Eight Digital Champions of the UN’s Award for Digital Innovation With Social Impact

Chris at WSA16

We are happy to announce Imagga was awarded a very special prize - being one of the 8 global champions of the World Summit Awards. Imagga is overall winner in the Media & News category.

The 8 WSA Global Champions are excellent example of how digital innovation can make a true social impact and solve important issues on both local and global scale. WSA acknowledges pioneering innovation in the field of digital content and aims to bring visibility to projects that can create sustainable social change and impact world-wide.

WSA Imagga Presentation

During the 3 days Congress in Singapore, the selected best of digital start-ups, young entrepreneurs and distinguished experts from around the globe met to learn from each other. The congress speakers shared outstanding examples and insights of how digital technologies drive the United Nations agenda for the Sustainable Development Goals (UN SDG’s).

WSA Winners

On-site Grand Jury of 40 international ICT experts at the WSA Social Innovation Congress carefully selected the 8 WSA Global Champions.

It was super exciting to take part at the congress and meet innovators from all over the world. You rarely have the chance to spend quality time with group so diverse - UN and government officials, locals and expats, young and bright minds involved in amazing community and tech projects.

Chris was on stage the second day to showcase Imagga and how we are changing the way people handle digital images. It was awesome to see both jury and people in the room excited about the practical applications of Imagga’s image recognition technology. It’s always good indicator of your stage performance when people have questions, share ideas how you can improve it or just want to meet and talk to you.

Champion Moment

The whole WSA experience was amazing. Besides weather being too humid and hot for the European taste, having an opening party by the hotel pool with amazing view to the city, listening to world class speakers during the congress, being served the best food Singapore can offer, and having the best and friendliest event organizers, we can boldly state WSA in Singapore was the coolest event we’ve attended.

Asia is a great market for technologies such as ours. Being there for such short time validated what we already knew - we need to spend more time and efforts to help companies from the region deal with and monetize better their digital content. We are in love with Asia and coming soon to do more business there.


free image recognition with imagga

Imagga Featured Hack: Hipster Bar

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 ;)

Imagga Wins Porsche Hackathon

Hackathons are part of Imagga’s DNA - we love to hack and we definitely like to win. Porsche InnovationEngine hackathon took place in Salzburg, Austria on 8-10 June 2016. 12 teams all across Europe participated. We are happy to announce we won 1st prize but here’s a short report about this great event.

There were three tracks for the teams to complete - car recognition, financial optimization, the best car for me. It’s quite obvious we’ve decided to participate in the car recognition challenge.

Every great hackathon should start with nice dinner, and that’s what happened Friday night. As you can imagine we’ve been busy drafting the hack idea, meeting mentors and doing the actual hack. Literary we used the time and available napkins (great startup weapon to remember awesome ideas) to craft our winning strategy.

No surprise the next day we’ve digged straight into building our brilliant idea. Some mentors interrupted the process, but their insight on the car market was quite valuable. We’ve worked hard till midnight as we wanted to impress the jury with fully functional app including custom classification that was trained overnight.

Georgi presents at Porsche hackathon

During the final day of the hackathon we presented in front of 40 managers and 3 C-level executives (incl. the CEO) of Porsche Holding Group. Our demo went really smooth and all were impressed with the technology and that we were actually able to put together fully functional demo in such a short time.

Getting the first prize was such an honor and also an opportunity to work in that space - car discovery & search. Not to forget one of the perks winning Porsche hackathon - Audi Driving Experience! Looking forward to it!