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: | Nee |
| Net wage: | - |
| Foreign: | Nee |
| Contact: |
Dieter De Witte (Professor) Email: dieter.dewitte@ugent.be Tel: +32 477 22 09 78 |