MoZuMa: A Model Zoo for Multimedia Applications
Lots of machine learning models with applications in Multimedia Search are released as Open Source Software. However, integrating these models into an application is not always an easy task due to the lack of a consistent interface to run, train or distribute models. With MoZuMa, we aim at reducing this effort by providing a model zoo for image similarity, text-to-image retrieval, face recognition, object similarity search, video key-frames detection and multilingual text search implemented in a generic interface with a modular architecture. The code is released as Open Source Software at https://github.com/mozuma/mozuma.
WOS:001150372707075
2022-01-01
New York
978-1-4503-9203-7
7335
7338
REVIEWED
EPFL
Event name | Event place | Event date |
Lisboa, PORTUGAL | OCT 10-14, 2022 | |