IMAGE SEARCH SYSTEM BASED ON THE CLIP MODEL AND VECTOR DATABASES

Authors

  • Katarina Artukov Autor

DOI:

https://doi.org/10.24867/33BE02Artukov

Keywords:

Image search, vector databases, CLIP model

Abstract

This thesis presents an image search system based on the CLIP model and vector databases, enabling efficient search of visual content using textual or image-based queries.

References

[1]openai.com, „https://openai.com/index/clip/

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[2] pinecone.io, „https://www.pinecone.io/“

[Na mreži].

[3] J. R, „kaggle.com,“ [Na mreži]. Available: https://www.kaggle.com/datasets/hsankesara/flickr-image-dataset/data

[4] Radford, Alec, et al. "Learning transferable visual models from natural language supervision." International conference on machine learning. PMLR, 2021.

[5] Y. A. Malkov and D. A. Yashunin, “Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs,” IEEE transactions on pattern analysis and machine intelligence, vol. 42, no. 4, p. 824–836, 2018.

Published

2026-01-30

Issue

Section

Electrotechnical and Computer Engineering