Welcome to the TRoM Vision Benchmark Suite!
AI & Self-driving Lab, Department of Computer Science and Technology, Tsinghua University, Beijing, China
Tsinghua Road Markings, called TRoM, is a dataset for recognition of road marking. This is the first dataset that focuses on road markings for self-driving or ADAS. Samples in the dataset were collected in Beijing municipality, China and the collection period lasted for over one month. It covers a diversity of traffic and weather conditions. In the current version of TRoM, 19 categories of the road markings were annotated for recognition use. This benchmark is aiming to develop amazing data-driven deep learning algorithms for self-driving & ADAS. The detailed information is listed below.