torus similarity

Which similarity metric is commonly used in image similarity search?

• a) Euclidean distance

• b) Cosine similarity

• c) Manhattan distance

• 1. d) Jaccard similarity

What is the range of cosine similarity (not distance) values?

• -1 to 1

• 0 to 1

• 1 to 10

What does CLIP stand for in the context of image similarity search?

• a) Convolutional Linear Image Processing

• b) Clipart Library for Image Processing

• c) Contextualized Language Image Preprocessing

• 1. d) Contrastive Language-Image Pretraining

What is the benefit of using approximate nearest neighbor algorithms in image similarity search?

• a) Faster search speed

• b) Higher accuracy

• d) Improved interpretability

How does perceptual hash differ from cryptographic hash functions?

• a) Perceptual hash is reversible, while cryptographic hash functions are not.

• b) Perceptual hash focuses on visual similarity, while cryptographic hash functions focus on security.

• d) Perceptual hash is slower than cryptographic hash functions.

Which property of perceptual hash makes it robust to image transformations?

• Invariance

• Linearity

• Orthogonality

• Sparsity

Why use Vector Database instead of VectoryLibrary

• • Production ready

• Scalable

• to build a product for user

• Faster