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Tools for assigning names and identities to detected clusters in media.
Distinguishing note: Focuses on the human-in-the-loop naming of detected face clusters.
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PhotoPrism is a self-hosted digital asset management platform designed to organize, classify, and manage large collections of photos and videos on personal infrastructure. It functions as a private alternative to cloud-based services, ensuring that all media remains under the user's control. The platform utilizes neural-network-based media analysis to automatically detect objects, faces, and locations, providing a comprehensive, AI-powered approach to library organization. The project distinguishes itself through its containerized architecture, which simplifies deployment and lifecycle manage
Enables naming and identifying people across a collection by labeling face clusters.