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Feb 27, 2013 · UCSD Anomaly Detection Dataset. The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd density in the walkways was variable, ranging from sparse to very crowded.
UCSD Ped2 (UCSD Anomaly Detection Dataset) Introduced by Vijay Mahadevan et al. in Anomaly detection in crowded scenes. The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways.
Datasets available for Datahub/DSMLP. The datasets listed below are available for use in DataHub by opening a terminal window (while in your DataHub environment) and typing "cd /datasets". In your jupyter notebook, the path for reading in the dataset would be "/datasets/ ".
The UC San Diego Educational Dataset Service (EDS) will house curated datasets for use in instruction and research, including real research datasets, sanitized and synthetic administrative data from campus sources, and datasets commonly used for training in specific disciplines.
Dataset The UCSD Anomaly Detection Dataset comprises videos recorded from surveillance cameras in the UCSD campus, annotated for anomalies. It includes diverse scenarios where anomalies, such as bikers, skaters, and vehicles, appear in pedestrian zones.
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Below you'll find access to data created by UC San Diego researchers, and, further down, data that were created elsewhere, including sets that were curated by UC San Diego personnel, emerge from cross-institutional collaborations, or are of special interest to UC San Diego researchers.
