The LYNRED Mobility Dataset helps you develop your algorithms

Artificial intelligence (AI) is playing a crucial role in driving the digital transformation of our society, especially in the field of computer vision. This technology enables machines to understand and interpret the visual world in a similar manner to humans, which paves the way for innovative applications in a broad array of sectors, including healthcare, security, and the automotive industry.

However, to be truly effective, these systems require extensive and varied training datasets, which are essential for building robust AI models offering improved accuracy. Aware of these challenges, Lynred is actively committed to powering research in this area by providing thermal image datasets, with the goal of advancing computer vision applications and pushing the boundaries of what technology can achieve.

This dataset comprises three parts covering complementary fields:

• Multimodal Detection : for training AI algorithms, with up to nine classes in various weather conditions
• Stereovision : for combining multimodal, stereo thermal IR and stereo visible-light RGB, and tracking (video sequences), with perfectly synchronized images
• Range Estimation : for estimating the pedestrian detection range in various Pedestrian Automatic Emergency Braking (PAEB) conditions, which goes over and above the requirements in current regulations