Multimodal Art Database

Summary

- A user had to input an artistic image and our software would detect the top k artists who could have possibly made the painting and store them in a local MariaDB database.
- To find the similarity between input painting and the database, we used the CLIP model to first finetune on our art database and then using the cosine similarity between the stored embeddings and our input feature embedding.
- The most likely images got stored in a normalized SQL tables with foreign keys linking between the image id table and the artist id table.