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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
an application to automatically extract text from comic books.
...It is based on the following 3 major algorithms
- Binarization of color images (Niblak and other methods)
- Connected components
- K-Means clustering
Apache Tesseract is used to perform Optical Character Recognition on the extracted text.
A subsequent version of the application will integrate with translation software in order to provide automated translation of comic book texts and re-inserion of translated texts
Java OCR is a suite of pure java libraries for image processing and character recognition. Small memory footprint and lack of external dependencies makes it suitable for android development. Provides modular structure for easier deployment
Vision2u offers a free image processing software for personal use and research. Primary tasks of the image processing can be realized during simple operation of the software. Every Web cam owner can have simplest measuring, counting or tasks of monitoring done without high capital outlays.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
ContraCaptcha is a Java-based libary for solving (image-based) captchas. It provides classes for image processing and character recognition. It also includes solvers for some of the popular captcha-systems in use DISCLAIMER: only for learning purpose (;
A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.