Smoke Detection Dataset

This dataset has been acquired on July 2012 at the University of Salerno. It is composed by 149 videos, each lasting approximatively 15 minutes, so resulting in more than 35 hours of recording.
It is a very challenging dataset, both for testing smoke detectors and fire detectors, since containing red houses in a wide valley, mountains at sunset, sun reflections in the camera, several smokes and clouds.

If you use these videos please cite:

• Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion.

  @ARTICLE{csvt2015_fire,
  title = {Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion},
  author = {Pasquale Foggia and Alessia Saggese and Mario Vento},
  year = {2015},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  }

• Improving fire detection reliability by a combination of videoanalytics.

  @INPROCEEDINGS{dilascio2014_fire,
  title = {Improving fire detection reliability by a combination of videoanalytics},
  author = {Rosario Di Lascio and Antonio Greco and Alessia Saggese and Mario Vento},
  year = {2014},
  booktitle = {International Conference on Image Analysis and Recognition (ICIAR)},
  }

A few details of the dataset can be found at the following link, while in order to download the whole dataset click here.

If you have any problems, do not hesitate to contact us here.