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.
Start Free
Go From AI Idea to AI App Fast
One platform to build, fine-tune, and deploy ML models. No MLOps team required.
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Library and frontend engine for performing Image Retrieval tasks.
The GRire library is a light-weight but complete framework for implementing CBIR (Content Based Image Retrieval) methods. Currently, the main objective of the project is the implementation of BOVW (Bag of Visual Words) methods so, apart from the image analysis tools, it offers methods from the field of IR (Information Retrieval), e.g. weighting models such as SMART and Okapi, adjusted to meet the Image Retrieval perspective.
A content based image retrieval (CBIR) system in Scilab
This is the first version of kannan Balakrishnans scicbir project.This is a content based image retreival (CBIR) system in SCILAB.
Released under GNU GPL, this system is very flexible.
Content-based Image Retrieval (CBIR) consists of retrieving visually similar images to a given query image from a database of images. It is done by comparing selected visual features such as color, texture and shape from the image database.
BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).
Openbaar constitutes a client for the Multimedia Retrieval Markup Language (MRML), specifically for servers implementing the Gnu Image Finding Tool (GIFT) for content based image retrieval (CBIR), for usage by eye tracker or alternatively mouse.
This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).