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Top 5 Open Source AI Solutions for Image Processing

Published

7 years ago

April 12, 2019

Top 5 Open Source AI Solutions for Image Processing Reading Time: 4 minutes

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

Related Topics:gambling industry in Europe

George Miller

George Miller (Gyorgy Molnar) started his career in content marketing and has started working as an Editor/Content Manager for our company in 2016. George has acquired many experiences when it comes to interviews and newsworthy content becoming Head of Content in 2017. He is responsible for the news being shared on multiple websites that are part of the European Gaming Media Network.

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Latest News

From ‘Mummyverse’ to Crash Games: Belatra Reviews a Landmark 2025

Published

5 days ago

December 23, 2025

George Miller

Editor’s Take

Why this matters: Belatra has been a steady hand in the slots world for a long time, but 2025 marked a distinct shift in strategy. By entering the Crash vertical with Goose Boom Bang and winning big at SiGMA Africa, the studio is clearly pivoting to capture the high-growth, high-frequency players in emerging markets. They are no longer just a “classic slots” developer; they are diversifying the portfolio to ensure relevance in regions like LatAm and Africa.

The Full Story

Belatra Games, the specialist online slots developer, has issued a strategic review of its 2025 operations, celebrating a 12-month period defined by entry into new game verticals, significant franchise expansion, and high-profile industry recognition.

The year was characterized by a dual strategy: deepening engagement in established markets while aggressively expanding its content portfolio to suit local preferences in emerging territories.

Portfolio Evolution: Crash and Battles 2025 saw Belatra move beyond its traditional slot roots. The company made its debut in the high-demand Crash game vertical with the launch of Goose Boom Bang, a title designed to tap into the fast-paced gameplay preference of younger demographics.

Additionally, the studio introduced a fresh game concept with the launch of Battles, a new format unveiled for the first time in 2025, with further development planned for 2026.

The ‘Mummyverse’ Expands For fans of classic slots, the highlight of the year was the aggressive expansion of the Mummyverse. Belatra nearly doubled the size of this franchise over the year, making it the most extensive game universe in their entire catalog.

The developer also focused on B2B localization, releasing a number of exclusive bespoke games created specifically for selected operator partners to meet specific local market tastes.

Awards and Recognition The company’s strategic shifts were validated by industry accolades. Belatra secured over 30 nominations throughout the year, with standout wins including:

Best Slot Provider (awarded by BitStarz).
Most Played Game of 2025 for Make It Gold at the SiGMA Africa Awards.
Player’s Pick Award.

Management Commentary Misha Voinich, Head of Business Development at Belatra, commented on the studio’s momentum:

“This year has truly defined who we are as a studio – ambitious, creative and focused on building long-term partnerships. We’ve expanded our universes, launched new ones and entered exciting new markets that will all help us carry this momentum into the New Year.”

The post From ‘Mummyverse’ to Crash Games: Belatra Reviews a Landmark 2025 appeared first on Gaming and Gambling Industry Newsroom.

Latest News

‘Chaos and Soul’: Ebaka Games Plots Global Expansion After Viral Launch

Published

5 days ago

December 23, 2025

George Miller

Editor’s Take

Why this matters: The “Instant Game” vertical (Crash, Plinko, Mines) is becoming crowded, but Ebaka Games is cutting through the noise with a distinct brand personality. By securing BMM Testlabs certification so quickly after launch, they are signaling to Tier 1 operators that despite their “chaotic” marketing vibe, the math underneath is solid and compliant. The backing of industry veteran Dmitry Belianin also adds immediate commercial credibility to the startup.

The Full Story

Ebaka Games, the fledgling studio that promises to bring “chaos and soul” to the iGaming sector, has outlined an aggressive growth strategy for 2026 following a landmark launch period in late 2025.

The studio, which officially debuted in November, reports that its initial rollout reached more than five million people worldwide. The launch saw its portfolio go live with the operator Menace, serving as the initial testbed for its mechanics and “Ebaka modes.”

The Product: Instant Games with Personality Ebaka is bypassing traditional slots to focus on the high-growth vertical of fast-paced, instant-win games. Their initial lineup includes:

Plinko
Mines
Tower
Limbo
Crash

Differentiation is achieved through unique mascots and signature gameplay tweaks designed to offer high win potential and distinct visual identities, moving away from the generic interfaces often found in this genre.

Regulatory Milestone Crucially for its 2026 roadmap, Ebaka Games has confirmed it has secured certification from BMM Testlabs. This accreditation validates the fairness and integrity of its RNG (Random Number Generator) and game engines, removing a major barrier to entry for regulated markets. With this certification in hand, the studio plans to launch with a number of “major brands” in the coming year.

Management Commentary Vitalii Zalievskyi, CEO of Ebaka Games, commented on the studio’s unorthodox approach:

“It’s only been a few weeks since we first introduced Ebaka Games to the world. The feedback has been breathtaking, and it vindicates the decision for us to take a different path to the rest of the industry. You don’t need huge marketing budgets to grab people’s attention if you are building something truly innovative.”

Industry Backing The studio describes itself as being “created by players for players” but boasts significant industry firepower in its corner. The team includes Dmitry Belianin, a well-known figure in the sector who is the co-founder of Blask and Menace, as well as Managing Partner at Already Media.

The post ‘Chaos and Soul’: Ebaka Games Plots Global Expansion After Viral Launch appeared first on Gaming and Gambling Industry Newsroom.

Latest News

Racing Meets Nightlife: SBK Backs ARC’s New ‘Friday Night Live’ Series

Published

5 days ago

December 23, 2025

George Miller

Editor’s Take

Why this matters: British racing has a well-documented demographic problem; its core audience is aging. “Friday Night Live” is a direct attempt to fix this by blending high-stakes racing with the “experience economy” (DJs, nightlife vibes) that appeals to Gen Z and Millennials. Bringing SBK on board—a mobile-first, app-only sportsbook—is a perfect demographic fit, while the Racing Post adds the necessary credibility to ensure the actual racing product remains the focus.

The Full Story

Arena Racing Company (ARC) has unveiled the strategic commercial lineup for its upcoming Friday Night Live series, confirming SBK as the Exclusive Betting Partner and The Racing Post as the Official Media Partner.

Set to launch in January 2026, Friday Night Live is a new initiative created in collaboration with youth-focused events company INVADES. The series is designed to overhaul the traditional race day experience, featuring fast-paced fixtures under floodlights, DJ sets, and significant entertainment elements sandwiched between races.

The Commercial Deal

SBK: As the exclusive betting partner, the Smarkets-owned sportsbook will take naming rights and on-course branding for all 35 races. Crucially, these races will be broadcast live on mainstream television via ITV Racing as well as Sky Sports Research.
The Racing Post: As the Official Media Partner, the publication will provide content, coverage, and promotion across its digital platforms, aiming to bridge the gap between established racing purists and the new audience ARC hopes to attract.

A High-Stakes Experiment The series is not just a marketing exercise; it carries serious sporting weight. Each of the five scheduled nights will feature over £200,000 in prize money. The fixtures will rotate across three of ARC’s all-weather tracks: Wolverhampton, Newcastle, and Southwell.

Management Commentary David Leyden Dunbar, Group Director of Commercial Strategy at ARC, was clear about the target audience:

“We have been very clear that one of the aims of Friday Night Live is to engage the next generation of racing fans… Both [partners] have shown real enthusiasm to work with us… as well as using the platform that these fixtures will offer them to also engage with more established racing and sports fans.”

Adam Baylis, Marketing Director at SBK, added:

“Friday Night Live [is] a fresh and engaging concept that brings a new energy to British racing. SBK has always been built around sport… our focus is on enhancing the live race day experience in a fun, social and responsible way.”

The 2026 Schedule The series kicks off immediately in the new year: