FLIR Systems has announced the availability of a free machine learning thermal dataset for Advanced Driver Assistance Systems (ADAS) and self-driving vehicle researchers, developers, and auto manufacturers.
The dataset features a compilation of more than 10,000 annotated thermal images of day and nighttime scenarios. It includes annotations for cars, other vehicles, people, bicycles, and dogs, the starter thermal dataset enables developers to begin testing and evolving convolutional neural networks (CNN) with the FLIR Automotive Development Kit (ADK™).
The dataset empowers the automotive community to quickly evaluate thermal sensors on next-generation algorithms. When combined with visible light cameras, LiDAR, and radar, thermal sensor data paired with machine learning, helps create a more comprehensive and redundant system for identifying and classifying roadway objects, especially pedestrians and other living things. The dataset will be available in July 2018.