Evaluation of AI Models for Cataloguing Digital Collections

This project evaluates the application of AI models to the creation of catalogue records for digital collections, a task traditionally requiring slow and costly expert manual work.

The study includes a qualitative and quantitative evaluation of different implementations and models. It provides recommendations on the use of AI models that extend beyond the specific use case examined.

These findings aim to address the overlooked challenge of cataloguing by offering guidance on leveraging AI to improve efficiency in digital collection management.