AVECL-UMONS database for audio-visual event classification and localization
October 02, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Mathilde Brousmiche, StΓ©phane Dupont, Jean Rouat
arXiv ID
2011.01018
Category
cs.IR: Information Retrieval
Cross-listed
cs.CV,
cs.MM,
cs.SD
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce the AVECL-UMons dataset for audio-visual event classification and localization in the context of office environments. The audio-visual dataset is composed of 11 event classes recorded at several realistic positions in two different rooms. Two types of sequences are recorded according to the number of events in the sequence. The dataset comprises 2662 unilabel sequences and 2724 multilabel sequences corresponding to a total of 5.24 hours. The dataset is publicly accessible online : https://zenodo.org/record/3965492#.X09wsobgrCI.
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