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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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OpenCV Resource Report Resource Website 1000+ mentions |
OpenCV (RRID:SCR_015526) | software resource, algorithm resource | Computer vision and machine learning software library which provides a common infrastructure for computer vision applications. The algorithms within the library can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements and moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, and follow eye movements, recognize scenery and establish markers to overlay it with augmented reality. It has C++, C, Python, Java and MATLAB interfaces. | software library, computer vision, machine learning | is used by: faba-bean-image-classification | https://github.com/opencv | SCR_015526 | Open Source Computer Vision Library | 2026-08-01 12:10:58 | 2428 | |||||||||
|
faba-bean-image-classification Resource Report Resource Website |
faba-bean-image-classification (RRID:SCR_028528) | image analysis software, software toolkit, source code, software application, software resource, data processing software, image processing software | Software pipeline for segmenting faba bean seed images and extracting shape, size, and color features to CSV. | plant phenotyping, segmenting faba bean seed images, images, extracting shape, size, color, features to CSV, |
uses: OpenCV uses: scikit-image |
Free, Available for download, Freely available | SCR_028528 | 2026-08-01 12:14:31 | 0 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
