SISTEM ZA PRETRAGU SLIKA ZASNOVAN NA CLIP MODELU I VEKTORSKIM BAZAMA

Katarina Artukov

doi:10.24867/33BE02Artukov

Electrotechnical and Computer Engineering

Vol. 40 No. 12 (2025): Proceedings of the Faculty of Technical Sciences

IMAGE SEARCH SYSTEM BASED ON THE CLIP MODEL AND VECTOR DATABASES

Katarina Artukov

33BE02Artukov (Serbian)

DOI:: https://doi.org/10.24867/33BE02Artukov
Submitted: December 8, 2025
Published: 2026-02-18

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

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

[2] [Na mreži].

[3] [2] pinecone.io, „https://www.pinecone.io/“

[4] [Na mreži].

[5] [3] J. R, „kaggle.com,“ [Na mreži]. Available: https://www.kaggle.com/datasets/hsankesara/flickr-image-dataset/data

[6] [4] Radford, Alec, et al. "Learning transferable visual models from natural language supervision." International conference on machine learning. PMLR, 2021.

[7] [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.