earticle

영어

Research on fire detection has grown steadily over the last few decades which is the key concern of the research community to prevent the lives of mankind and their property from damages. Several researchers developed video fire detection datasets and proposed different machine learning algorithms for its accurate detection. Therefore, it is very significant for the researchers to understand the relevant datasets in this field that can provide help in terms of results comparison and speed up the research based on the existing datasets instead of creating a new dataset. In this paper, we provide a comprehensive overview of existing fire detection datasets. Firstly, we reviewed seven different fire detection datasets in detail, which can provide helps to new researchers in this field. Secondly, we provided a detailed description of these datasets, and analyzed the shortcomings and suggestions for further fruitful research. This paper is helpful for new researchers to identify possible research gaps and limitations about fire detection datasets.