Abstract: Abstract: The current fire image recognition methods rely primarily on large datasets, which will cause unreliable detection results when training samples are insufficient. In response to the problem of generally lack of fire image samples, a large-scale fire image dataset containing various application scenarios based on fire detection algorithm development and evaluation needs is proposed. This paper trains and develops fire detection algorithms based on the fire image dataset, and verifies the completeness and effectiveness of the fire image dataset. Experiments on the fire image dataset established in this paper show that the universality and effectiveness of fire detection algorithms, the experimental results show that this fire image dataset provides a basic platform for the research of image-type fire detection algorithms.

Key words: Key words: fire image, fire detection, algorithm evaluation