A Google-Like Search Experience for Your Photo Library with Opensource Tools

This demo showcases a photo album curation workflow using FiftyOne’s Brain similarity indexing and multimodal search. Images are embedded and indexed once via compute_similarity(), enabling rapid retrieval of visually similar photos and natural language search (e.g., “sunset at the beach”) using CLIP, which aligns text and images in the same embedding space. Users can sort albums by similarity to a reference image or a text prompt, find duplicates, and surface on-theme groups for curation. Low‑dimensional embedding visualizations further reveal clusters and outliers that guide pruning and organization. The experience is fully interactive in the FiftyOne App, and scalable via vector database integrations when working with large libraries.