Best Visual Search Software for Linux

VGG Image Search Engine (VISE) is a free and open source software for visual search of large collection of images using image region as a search query. VISE is developed and maintained by Visual Geometry Group (VGG) in Department of Engineering Science of the Oxford University. VISE is released under a license that allows unrestricted use in academic research projects and commercial industrial applications. We want to nurture a vibrant open source community around the VISE software. Therefore, we encourage you to contribute and participate in the development of VISE. Our users can participate in the development of VISE software by reporting issues, contributing documentation, adding new features or improving existing features by sending a merge request. VISE will be developed, maintained and supported by the Visual Geometry Group at least until November 2025. Users can post their queries or report issues with the VISE software in our gitlab issues portal.

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Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.