A deeplearning pipeline for image search in museum collections
Here you find the details for the internship named "A deeplearning pipeline for image search in museum collections" in the company IDLab.
|Name:||A deeplearning pipeline for image search in museum collections|
The internship is linked to a long-running project where we start from physical paintings in the museum (RMFAB) and we want to end up with a practical search system to search IN those paintings. Angles: computer vision for image enrichment, metadata improvement using metadata standards, IIIF annotation front-end for museum conservators, etc. Linked to this there is a different project where we will build a automatic museum guide app for all museums in Ghent. Do contact me if this sounds interesting!
|Required special knowledge:||
Required: Python, principles of software design, comfortable in data science life cycle, deployment (APIs, microservices)
Dieter De Witte (Professor)
Tel: +32 477 22 09 78