mlsanityData to 7 Oct 2026

Multimedia Datasets for Anomaly Detection: A Review

arXiv 2112.05410 ↗First posted 10 Dec 2021cs.CV cs.MMcited by 2

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Abstract (arXiv)

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a wide range of applications expanding from outlier objects/ situation detection to the detection of life-threatening events. For more than 1.5 decades, this field has attracted a lot of research attention, and as a result, more and more datasets dedicated to anomalous actions and object detection have been developed. Tapping these public anomaly datasets enable researchers to generate and compare various anomaly detection frameworks with the same input data. This paper presents a comprehensive survey on a variety of video, audio, as well as audio-visual datasets based on the application of anomaly detection. This survey aims to address the lack of a comprehensive comparison and analysis of multimedia public datasets based on anomaly detection. Also, it can assist researchers in selecting the best available dataset for bench-marking frameworks. Additionally, we discuss gaps in the existing dataset and insights for future direction towards developing multimodal anomaly detection datasets.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 29 of its 197 references that are in the map. First posted on arXiv 10 Dec 2021.

Builds on

29 of 197 references.

References · 29

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17 more
  1. 2016Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detectioncited by 32
  2. 2021ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditionscited by 26
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.

2 papers.

  1. 2023Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videoscited by 0
  2. 2026Multi-Modal Anomaly Detection: A Surveycited by 0