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Settings for tuning the performance and accuracy of facial analysis engines.
Distinguishing note: Focuses on the configuration of the recognition engine rather than the detection itself.
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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
Allows defining parameters for face detection and clustering to ensure accurate grouping.