Mapillary, a street-level imagery platform that uses computer vision to automate and scale mapping, launched what it is calling "the world’s largest and most diverse publicly available traffic sign recognition dataset to teach autonomous vehicles to understand traffic signs." Named the Mapillary Traffic Sign Dataset, the dataset consists of 100,000 images from around the world. The images reportedly feature high variability in everything from weather and times of day when the images have been taken to camera sensors and viewpoints. The company states that this is the first time such a large and diverse dataset has been launched for anyone to license to train their own traffic sign recognition systems.
Emil Dautovic, VP of Automotive at Mapillary, said, “Carmakers typically go out and get their own data to train their algorithms, but that means that they have low levels of variability in their training data. When it comes to teaching cars to see, more diverse input data means better results.”