The machine vision company FLIR has released datasets from thermal imaging cameras, designed to help in the development of vehicle safety systems.

Annotated data from six European cities, including London, they contain a total of 14,353 annotated thermal images to increase testing and development of convolutional neural networks. The images were taken in a variety of driving environments in each city, including various lighting and weather conditions.

FLIR says this will help researchers, developers and auto manufacturers enhance and accelerate work on safety, advanced driver assistance-systems, automatic emergency braking and autonomous vehicle systems. The company adds that, by incorporating the thermal dataset into automotive design and development, researchers and developers can develop more reliable systems due to thermal imaging’s ability to classify objectives.