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Top 5 Open Source AI Solutions for Image Processing

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Top 5 Open Source AI Solutions for Image ProcessingReading 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

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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7777 gaming secures certification in Colombia

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7777 gaming, a leading B2B casino games provider, has officially received certification for its innovative gaming content in Colombia, marking a significant milestone in the company’s global expansion.

With this certification, Colombian players and operators can access 7777 gaming’s exclusive portfolio, featuring some of its most engaging and high-performing titles, including Crazy 100 Bucks, Barbarian, Candy Anyways, Devil’s Deal Soul for Sale, and Club Mr. Luck. These games, known for their immersive gameplay and cutting-edge mechanics, are designed to elevate the online casino experience and drive higher engagement.

“As part of our commitment to expanding into regulated markets, obtaining certification in Colombia is a key step toward offering premium entertainment experiences to local players. Our certified games incorporate some of the most in-demand features, ensuring both excitement and rewarding gameplay,” said Asya Raykova, Partnership Manager at 7777 gaming.

7777 gaming’s certified games package includes some of the most sought-after features in the industry, such as:

  • MULTIPLIERS – A variety of multipliers that boost rewards and enhance excitement.
  • FREE SPINS – Special symbols that trigger a set number of free spins.
  • BONUS GAME – Uniquely crafted bonus rounds that provide extra gameplay opportunities.
  • BUY BONUS – Allows players to purchase direct access to bonus features.
  • GAMBLE – Enables players to risk their winnings for a chance to multiply them.
  • DOUBLE CHANCE – Doubles the odds of triggering a bonus feature.
  • EXPANDING REELS – Increases the number of symbols/reels, adding greater winning potential.

7777 gaming continues to expand its presence in regulated markets worldwide, bringing innovative and high-quality gaming content to new audiences. With this latest milestone in Colombia, the company is solidifying its reputation as a trusted partner for operators looking to enhance their casino offerings with next-generation gaming experiences.

About 7777 gaming:

7777 gaming is an innovative and data-driven B2B igaming provider, founded in 2020 with the mission to revolutionize and challenge the status quo in the industry by offering 360-degree platform, state-of-the-art online casino games, iLottery, Jackpot, and marketing solutions, draw-based games, scratch cards, and much more.

The product is built by a dedicated team of visionaries with over 20 years of experience. The games and the RNG are tested and compliant in several highly regulated jurisdictions worldwide. Besides, the company achieved and maintained ISO 27001 certification. 7777 gaming holds a gambling license in Bulgaria and Romania and an MGA Certificate to provide its online casino games to these markets.

7777 gaming is already partnering with the leading aggregators and platform providers in the igaming industry.

The post 7777 gaming secures certification in Colombia appeared first on European Gaming Industry News.

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Stake unveils new Stake Engine: Build. Launch. Earn. The Engine Is Yours

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Stake, the world’s largest online casino, today announced the launch of Stake Engine — a next-generation Remote Gaming Server (RGS) built to give developers the tools, infrastructure, and audience they need to succeed on their terms.

Backed by the technology behind 300 billion bets and a global community of over 20 million players, Stake Engine offers an instant path to revenue with full end-to-end game development tools and the most developer-friendly commercial model in iGaming: 10% GGR (Gross Gaming Revenue), paid monthly.

Whether you’re an indie creator or a full-scale studio, Stake Engine offers everything you need to build, deploy, and grow games on your terms.

Studios are already winning.
Over the past 12 months, games built on Stake Engine have generated $3.31 billion in turnover. In the most recent quarter, three titles ranked among Stake’s top 50 games by total bets: Massive Studio’s Jawsome at #17, Serpentina at #23, and Twist’s Samurai Dogs Unleashed at #25.

Who can build?
Any developer. From math devs and indie studios to full-stack teams, if you can design and deliver engaging games, you’re welcome here.

What can you build?
Anything your imagination allows. Slots, wheel mechanics, card-based logic, original IP, Stake Engine has no templates, no restrictions, and no gatekeeping. If it plays well and meets our standards, you can build it, launch it, and own it.

Why build on Stake Engine?
Stake Engine gives developers everything they need to launch faster, without the barriers that slow down traditional game development.

No need to build your own infrastructure, negotiate publisher deals, or spend months integrating with legacy Remote Gaming Servers (RGS). With Stake Engine, you can go from idea to live game in days.

Stake handles the infrastructure, distribution, and visibility, so you can focus on what matters: building great games. There’s no pitching, no storefront politics, and no delays.

Behind the scenes, Stake Engine powers everything with a full front-end SDK, integrated math engine, balancing toolkit, and real-time analytics dashboard — putting real performance data at your fingertips.

And once your game goes live, you get paid monthly, with 10% GGR royalties and zero lockups.

Proven at Scale

  • Over 300 billion bets placed on Stake

  • 10 billion monthly wagers processed

  • Stake is behind 4% of global Bitcoin transactions
    Capable of handling 1 million+ bets per second

    Stake Engine: Key Features

  • Stake Engine delivers unmatched scale and performance, supporting over 1 million bets per second and powered by the same infrastructure behind the world’s most popular crypto casino.

  • It offers a full end-to-end developer stack, including a front-end framework, integrated math engine, and balancing toolkit — everything needed to build rich, interactive games quickly and at scale.

  • Developers have complete creative freedom with no templates or restrictions. Build any game, upload it, and launch directly to Stake’s global audience.

  • Instant deployment tools allow developers to upload, test, and go live in minutes, with full versioning and real-time testing capabilities.

  • Stake Engine provides transparent analytics, offering real-time insights into game performance across players, markets, and engagement cohorts.

  • It features an industry-leading commercial model with 10% GGR perpetual royalties — the most aggressive terms in gaming, paid monthly without delays or hidden fees.

  • Stake Engine is built by developers, for developers. Created by the engineers behind some of iGaming’s top studios, it is focused on speed, control, and fixing everything broken about legacy game launch processes.

  • Stake also handles all positioning, marketing, and growth — giving developers full visibility and freeing them to focus purely on building great games.

Brais Pena, Chief Strategy Officer at Easygo, the technology powerhouse behind Stake, said: “Stake Engine is built for creators, with speed, freedom, and scale baked in.”

“Stake Engine is more than just infrastructure, it’s a launchpad for the next generation of iGaming creators. We’ve taken everything we’ve learned building the world’s most popular online casino and packaged it into a platform that removes barriers, unlocks creativity, and delivers scale from day one.”

“Stake Engine is what happens when the biggest operator in iGaming builds for the builders. It’s not just a platform. It’s our commitment to the next generation of game creators.”

The post Stake unveils new Stake Engine: Build. Launch. Earn. The Engine Is Yours appeared first on European Gaming Industry News.

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Lucky fan bags £25,000 thanks to Midnite as Mark Allen hits 147 at 2025 World Snooker Championship

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One lucky snooker fan won £25,000 thanks to Midnite as Mark Allen hit a 147 at the 2025 World Championship on Friday.

Brian Nicholls, 75, from Tamworth, signed up to the Midnite Maximum for Friday’s 10am session, which is giving one supporter from each session the chance to pocket £25,000 if they witness a maximum break at the Crucible in Sheffield.

And Brian could not believe his luck when Allen hit a 147 against Chris Wakelin in their Round 2 clash.

As a result, UK bookmaker Midnite, who is the official betting and casino partner of this year’s tournament, will be giving the big cash prize to Brian.

Commenting on his huge cash windfall, Brian said: “I can’t believe it, I’m over the moon. I just want to spend the money and enjoy it.

“It just doesn’t happen, does it? It was one in a million. And to watch that, the 147, I was shaking when he got to the last few colours. Just over the moon.

“I’m going to spend the money on a cruise. I’ll have to give my son, Ian, some because it was down to him, all of this. Then just enjoy it – it’s a lovely amount of money to just have drop on your lap. I just can’t believe it.”

Speaking about Allen’s 147 maximum break, a Midnite spokesperson added: “We promised one lucky snooker fan per session £25,000 if a 147 was hit at the 2025 World Championship – and we’re delighted to play our part in Brian’s big cash prize.

”Our competition is running throughout the whole tournament, with £25,000 up for grabs each time a player hits a 147, so if you’re at the Crucible, make sure you sign up to be in with a chance to win!”

Fans at the Crucible will continue to get the chance to win £25,000 as the Midnite Maximum giveaway will continue throughout the tournament right up until the final session on May 5.

The post Lucky fan bags £25,000 thanks to Midnite as Mark Allen hits 147 at 2025 World Snooker Championship appeared first on European Gaming Industry News.

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