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Open source query by visual example CBIR system. Developed at RWTH Aachen University. FIRE is a research system developed with extensibility in mind and can easily be combined with textual information retrieval systems. No No University Open GNU Image Finding Tool: Query by example image search system. Yes No Desktop-based GNU GPL: ISSBP
VIVO is a web-based, open-source suite of computer software for managing data about researchers, scientists, and faculty members. VIVO uses Semantic Web techniques to represent people and their work. As of 2020, it is used by dozens of universities and the United States Department of Agriculture. [1]
Affiliate Tracking Software is used to track the referral, endorsement or recommendation made by one person or company to buy products or services from another person or company. Tracking is necessary to manage and reward or compensate the participants of an affiliate marketing group of participants or affiliate networks .
Any software project with an open Beta test. The Netherlands-based investigative journalism group Bellingcat that specialises in fact-checking and open-source intelligence. [8] Bellingcat operate a Discord server of more than 10 000 members with many volunteers among them participating in investigative tasks. [9] [10]
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
Open research aims to make both research methods and the resulting data freely available, often via the internet, in order to support reproducibility and, potentially, massively distributed research collaboration. In this regard, it is related to both open source software and citizen science.
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]
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