VGG Image Search Engine

VGG Image Search Engine (VISE) is a software solution designed for visual search of large image collections. According to the vendor, this free and open-source tool is suitable for companies of all sizes, including small, medium, and large enterprises. VISE caters to various professions and industries, such as research institutions, museums, commercial companies in sectors like e-commerce and advertising, art galleries, and digital content providers.

Key Features

Image Search: According to the vendor, VISE allows users to search image collections using an image as the search query. It retrieves similar images based on visual similarity, aiming to provide accurate and specific search results.

Open Source: VISE is an open-source software that encourages collaboration and contribution from the user community. The vendor states that it can be freely used in academic research projects and commercial industrial applications.

Large Collection Support: VISE is designed to efficiently handle large image databases, making it suitable for organizations with extensive collections. According to the vendor, it can index and search through thousands or even millions of images, aiming to provide fast and reliable results.

Visual Vocabulary: VISE utilizes a visual vocabulary to represent and compare image regions. The vendor claims that this enhances the accuracy and effectiveness of image search capabilities, enabling efficient indexing and retrieval.

Support for Various Platforms: VISE is compatible with multiple operating systems, including Windows 10, macOS, and GNU/Linux. Users can choose the platform that best suits their needs and preferences, according to the vendor.

Documentation and User Guide: VISE offers comprehensive documentation, including a user guide with detailed instructions on installation and usage. The vendor provides video tutorials for Windows 10 and macOS platforms, aiming to facilitate a smooth onboarding process.

Frequently Asked Questions (FAQ): VISE provides a FAQ section that addresses common queries and concerns of users. The vendor covers installation, usage, and troubleshooting topics, aiming to provide quick answers and solutions.

Developer Resources: VISE offers a source code repository on GitLab, allowing developers to contribute to its development and participate in the open-source community. According to the vendor, it supports compilation on multiple platforms, providing flexibility.

Support: VISE offers three types of support: Individual User, Research Support, and Deployment Support. Users can post queries and report issues, while academic researchers and commercial companies receive technical assistance, according to the vendor.