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Top 5 Open Source AI Solutions for Image Processing
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A few decades or even years ago, self-driving cars and computers with a human-like vision were just a figment of the fantasy writer’s imagination. But today, Artificial intelligence (AI) technologies allow cars to drive safely across busy streets and computers to interpret pictures almost like humans do.
Developers have made impressive progress on how to implement AI on image processing tasks. Furthermore, image processing solutions with AI are widely used in various fields, from medicine to law enforcement to cybersecurity and retail.
AI and machine learning make it possible for the machines to inherit new functionalities through the process of learning. Similarly to small kids, machines can gain the ability to acquire and understand visual information by processing massive amounts of images. To process so much data faster without compromising the final result, developers use image processing models based on machine learning and deep learning algorithms.
In particular, image processing and computer vision solutions use deep learning for accomplishing such complex tasks as:
- Image classification
- Object recognition
- Object tracking
- Image generation
- Image retrieval
To implement some computer vision functionalities into your product, you’ll need a large set of tools and resources: image datasets, libraries with code samples, frameworks for creating and training deep learning models. Fortunately, there are a lot of open-course services that you can use to make machine learning less of a mystery and ease the development of your own AI-based image processing solution.
Below, we take a closer look at the five best open source image processing solutions that you can apply to your projects:
- OpenCV
- TensorFlow
- Keras
- Caffe
- Google Colab
Let’s get started!
OpenCV
Open Source Computer Vision Library (OpenCV) is one of the most popular open source services for image processing. It’s a free computer vision library that you can use to perform various image processing tasks:
- Image acquisition
- Image compression and decompression
- Image enhancement and restoration
- Image denoising
- Image segmentation
- Data extraction, and more
The library includes numerous algorithms and functions as well as special modules aimed at image processing tasks. Starting from the library version 3.1, there’s also a deep learning module for building and training deep learning models.
With this module, you can use OpenCV to extract features from processed images, and then apply a machine learning model using one of the supported machine learning frameworks.
As of today, OpenCV supports a number of popular frameworks, including TensorFlow, PyTorch, and Caffe. The list of supported types of neural networks includes convolutional, deconvolutional, and recurrent neural networks.
The library is written in C++ and supports C++, Java, Python, and MATLAB interfaces.
TensorFlow
TensorFlow is an open-source machine learning framework created by Google. Initially, the project was started for research purposes of the Google Brain team. Today, however, TensorFlow is widely used by both small startups and large companies such as Dropbox, Intel, and Twitter.
You can use TensorFlow to process different types of data, but in relation to image processing, this framework works best for:
- Image classification
- Image recognition
- Image segmentation
- Image to image translation (pix2pix)
TensorFlow includes a set of libraries for creating and training custom deep learning models and neural networks. The framework supports Jupyter notebooks and provides a style guide with recommendations on writing readable, consistent code.
TensorFlow supports several popular programming languages, including C++, Python, Java, Rust, and Go. However, you can install third-party bindings for other languages, such as Ruby, Scala, or PHP.
Keras
Keras is an open-source Python library for creating deep learning models. It’s a great solution for those who only begin to use machine learning algorithms in their projects as it simplifies the creation of a deep learning model from scratch. Keras is easy to manage and it is suitable for fast and simple prototyping of different types of neural networks.
The library was built on TensorFlow and is currently fully integrated into the framework. This means that you can write your deep learning model in Keras, as it has a much more user-friendly interface, and then easily implement a specific functionality or feature from TensorFlow in this model.
Keras can also be deployed on top of other popular AI frameworks such as Microsoft Cognitive Toolkit and Theano.
Caffe
Convolutional Architecture for Fast Feature Embedding (Caffe) is an open-source framework that can also be used for creating and training popular types of deep learning architectures. You can use Caffe to accomplish such tasks as image classification, segmentation, and recognition.
Caffe is written in C++ but it also has a Python interface. The framework supports both CPU- and GPU-based accelerated libraries such as NVIDIA cuDNN and Intel MKL. The framework also has a special database, Caffe Model Zoo, containing a set of pre-trained deep learning models. As of today, it offers four BAIR-trained models:
- BAIR Reference CaffeNet
- BAIR Reference R-CNN ILSVRC-2013
- BAIR AlexNet
- BAIR GoogLeNet
Model Zoo also includes a number of community models trained by other Caffe users. As for the types of supported neural networks, Caffe works best with convolutional neural networks (CNN) and feedforward networks. At the same time, it’s not the best choice for training recurrent neural networks.
In 2017, Facebook launched Caffe2, an open-source framework for training and deploying deep learning models. And in 2018, Caffe2 was integrated with another popular AI framework, PyTorch.
Caffe2 comes with C++ and Python APIs and supports all popular platforms.
Google Colaboratory (Colab)
Google Colaboratory, or simply Colab, is one of the top image processing services. While it’s rather a cloud service than a framework, you can still use Colab for building custom deep learning applications from scratch. With the help of Colab, you can perform such image processing tasks as image classification, segmentation, and object detection.
Google Colab eases the use of other popular AI-based tools such as OpenCV, TensorFlow, and Keras. The service uses Jupyter Notebooks, helping developers to share their knowledge, tips, and best practices on building AI-based applications. Plus, in contrast to other similar services, Colab offers free usage of both CPU- and GPU-based acceleration.
Conclusion
Machine learning models and algorithms help developers implement specific image processing functionalities into their products both quickly and easily. However, building a custom machine learning model or neural network requires lots of resources and a high level of technology expertise. With the help of the listed open-source tools, libraries, and frameworks, you can simplify the process of leveraging Artificial Intelligence technologies to your benefit.
This article is a contribution from Marcell Gogan. Marcell is a specialist within digital security solutions, business design and development, virtualization and cloud computing, R&D projects, establishment and management of software research direction – working with Ekran System. He also loves writing about data management and cybersecurity.
Source: Latest News on European Gaming Media Network
This is a Syndicated News piece. Photo credits or photo sources can be found on the source article: Top 5 Open Source AI Solutions for Image Processing

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Kaizen Foundation and UEFA Foundation for Children send strong message on inclusion through continued partnership
The Kaizen Foundation participates in UEFA Foundation for Children’s 10th Anniversary celebration, supporting amputee football and raising awareness about inclusion through sport. The partnership will expand into the summer through the “Legacy for the Future” project.
Kaizen Foundation, the Social Purpose Foundation funded exclusively by Kaizen Gaming, is announcing its participation in the 10th Anniversary celebrations of the UEFA Foundation for Children. During the celebrations, the Kaizen Foundation will be sponsoring a showcase match of two amputee teams with players from Greece, England and Poland at the Colovray Stadium in Nyon on April 28th at 15:30-16:45 CEST. This will be followed by a dedicated cup ceremony.
The focus of the celebrations – held in collaboration with the UEFA Foundation’s partners Football Is More and the European Amputee Football Federation – is inclusion in sports. The amputee football match offers a unique opportunity to witness the incredible spirit and talent of amputee athletes as they compete for the trophy. Highlighting the importance of inclusion in football, the game is guaranteed to captivate the audience and showcase football’s unifying power.
In addition, the Kaizen Foundation will be supporting a Conference on Inclusion to discuss football’s role in social responsibility and inclusion. Happening at the Chateau de Bossey, scheduled to take place earlier on the same day at 11.00 – 12.30 CEST, the conference will feature high-profile guests, including Prof. Dr. Jürgen Buschmann from the German Sports University of Cologne.
Kaizen Foundation and UEFA Foundation for Children expand their partnership into the “Legacy for the Future” project
Excitingly, the Kaizen Foundation is also announcing the expansion of its successful partnership with the UEFA Foundation for Children by supporting the “Legacy for the Future” project, aiming to leave a lasting legacy which fosters the empowerment of girls and women in countries from the UEFA participating national associations.
Within the framework of this partnership, Kaizen Foundation shall support initiatives undertaken by Τhe UEFA Foundation for Children across Portugal, Belgium, Germany and Denmark. The initiatives aim to empower girls and women to dismantle barriers in football and beyond, namely in education, legal rights and access to sport. Said initiatives will be associated with the respective women’s national teams, in order to enhance visibility and promote collective social responsibility.
This builds on the Kaizen Foundation’s inaugural partnership with the UEFA Foundation for Children to support the “10,000 Smiles” project, which provided 10,000 UEFA EURO 2024™ match tickets to associations working with vulnerable children. As part of the expansion of this partnership, Kaizen Foundation shall donate €300,000 to further aid the UEFA Foundation for Children’s aims and ambitions.
“It’s a great honour to be part of the UEFA Foundation for Children’s 10th Anniversary celebrations,” said Panos Konstantopoulos, President of the Kaizen Foundation. “By championing inclusion through the amputee match, we hope to inspire clubs and communities across Europe and the globe to take meaningful steps toward breaking down barriers. The UEFA Foundation for Children does extraordinary work, and we are thrilled to expand our partnership into the Legacy for the Future project, supporting local charities with the mission to dismantle barriers for girls in and out of sports. Our joint initiatives are a powerful reminder that nothing should stand in the way of what people can achieve, regardless of who they are or where they come from.”
“Football has an extraordinary power to bring everybody together. Partnering with organisations like the Kaizen Foundation is key to building a movement that drives real impact and leaves a lasting legacy,” said Carine N’koué, General Secretary of UEFA Foundation for Children. “Not only are we celebrating our 10th Anniversary together, but by deepening our collaboration with the Legacy for the Future project, we can continue to build on our mission to use the power of football to unite and bring joy to millions of disadvantaged children around the world.”
The post Kaizen Foundation and UEFA Foundation for Children send strong message on inclusion through continued partnership appeared first on European Gaming Industry News.
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Fanatics Sportsbook Is the Fastest Growing Sportsbook in America – and Is Expanding Its FanCash and Fair Play Initiatives
Awarded $750k in FanCash last Week and Extended Fair Play Protection to First Half for NBA Playoffs |
Since its inception, Fanatics Sportsbook has been able to set itself apart from the competition with customer-first initiatives like FanCash Drops and Fair Play. Fanatics Sportsbook has expanded those efforts with the launch of the brand-new FanCash Drop game and an exclusive extension of the Fair Play policy from the first quarter to the first half for all games throughout the NBA Playoffs. Fanatics Sportsbook, now the fastest growing sportsbook in America*, recently debuted FanCash Drop, a new game giving customers the chance to win up to $10k in FanCash.** Last week, Fanatics Sportsbook awarded more than $750k in FanCash as part of the new FanCash Drop game. With 75% of sportsbook customers using FanCash and up to 10% of FanCash being redeemed each month on Fanatics.com and the Fanatics app, FanCash has become a major reason for customers to choose Fanatics Sportsbook. FanCash Drop will be available to sportsbook customers every Friday, and prizing will vary each week. Fanatics Sportsbook customers have enjoyed more than $6 million in winning payouts thanks to Fair Play since the start of the football season. Every year during the NBA playoffs, the game’s brightest stars rise to meet the moment, so it’s only fitting that Fanatics Sportsbook does the same, with an exclusive Fair Play protection extension from the first quarter to the first half for the entire NBA Playoffs. Fair Play will kick in whether it’s a straight, parlay or Same Game Parlay (SGP). In addition, Fanatics Sportsbook will introduce the Fair Play Hub in the app, where customers can track live player news and Fair Play payouts. Customers can download the Fanatics Sportsbook app on iOS and Android and for up to date news and information on Fair Play follow the Fanatics Sportsbook social channels on X @FanaticsBook and on Instagram @FanaticsSportsbook.
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Vixio’s Chief Analyst James Kilsby Honored As Silver Stevie® Award Winner In 2025 American Business Awards®
Vixio, a leading provider of regulatory intelligence solutions, is proud to announce that James Kilsby, Chief Analyst, has been named the winner of a Silver Stevie® Award in the Thought Leader of the Year – Business category in the 23rd Annual American Business Awards®. The American Business Awards are the United States’ premier business awards program.
Kilsby was honored for his impactful leadership in providing intelligence on regulatory and compliance trends affecting the global gambling industry, particularly in emerging markets like Brazil. In an industry where compliance monitoring is cumbersome, his analysis, forecasts, and deep expertise help take the complexity out of compliance. His work in 2024 included in-depth analysis of the new regulated Brazilian gambling market and the launch of Vixio’s Technical Compliance Tool.
Roseanne Spagnuolo, Chief Research & Data Officer, Vixio, said: “James’ contributions to the gambling industry and to Vixio are significant. Some of the world’s biggest brands trust Vixio to monitor regulatory developments affecting their licences and identify new market and product opportunities. James’ expertise, especially in emerging markets in the Americas such as Brazil, is a significant contributor to those efforts.”
“I’m deeply honored to receive this recognition from the American Business Awards,” said James Kilsby, Chief Analyst, Vixio. “This award is a reflection of the trust our clients place in us and the incredible team at Vixio that brings clarity to such a complex and fast-moving global industry. As jurisdictions like Brazil evolve, our mission remains the same: to empower organizations with the intelligence they need to navigate compliance challenges confidently and responsibly.”
Stevie® judges praised Kilsby’s clear and actionable insights in an often opaque industry. One judge said: “James Kilsby has demonstrated exceptional thought leadership in the gambling compliance sector. His deep expertise in gambling regulations, particularly in emerging markets like Brazil, has positioned him as a key industry voice. His contributions include high-impact research, frequent media appearances, and direct influence on product innovation, notably with Vixio’s Technical Compliance Tool.”
Another judge added: “The gambling industry is often an opaque field where it is hard to understand what is and what is not allowed. James’s ability to provide clarity in this area and use that to support compliance and responsible gambling are commendable.”
More than 3,600 nominations from organizations of all sizes and in virtually every industry were submitted this year for consideration in a wide range of categories.
“Organizations across the United States continue to demonstrate resilience and innovation,” said Stevie Awards president Maggie Miller. “The 2025 Stevie winners have helped drive that success through their innovation, persistence, and hard work. We congratulate all of the winners in the 2025 ABAs and look forward to celebrating their achievements during our June 10 gala event in New York.”
Nicknamed the Stevies for the Greek word meaning “crowned,” the awards will be presented to winners at a gala ceremony at the Marriott Marquis Hotel in New York on Tuesday, June 10.
Details about The American Business Awards and the list of 2025 Stevie winners are available at StevieAwards.com/ABA.
To learn more about simplifying compliance management with Vixio’s award-winning regulatory intelligence solutions, visit vixio.com.
The post Vixio’s Chief Analyst James Kilsby Honored As Silver Stevie® Award Winner In 2025 American Business Awards® appeared first on European Gaming Industry News.
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