import fiftyone.brain as fob # Generate embeddings model = foz.load_zoo_model("clip-vit-base32-torch") embeddings = dataset.compute_embeddings(model) results = fob.compute_similarity( dataset, embeddings=embeddings, brain_key="image_sim" ) results.find_unique(500) unique_subset = dataset.select(results.unique_ids) session.view = unique_subset