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