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 |
Company: | IDLab |
Description: | 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! |
Target profiles: |
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In industries: | |
Required special knowledge: | Required: Python, principles of software design, comfortable in data science life cycle, deployment (APIs, microservices) |
Duration: | 1 semester |
Paid: | No |
Net wage: | - |
Foreign: | No |
Contact: |
Dieter De Witte (Professor) Email: dieter.dewitte@ugent.be Tel: +32 477 22 09 78 |