Mapillary Vistas Validation refers to the benchmark process used to evaluate computer vision algorithms on the Mapillary Vistas dataset. The dataset contains diverse, high-resolution street scenes with detailed semantic segmentation labels. Validation tasks measure model accuracy in recognizing road elements, pedestrians, and infrastructure. It serves as a standard testbed for assessing robustness in scene understanding. Such benchmarks help guide progress in outdoor perception systems.
Our Sparsh Garg, a Senior Associate Researcher in the Media Analytics Department, will present “Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations” at the Data Computer Vision (DataCV) 2025 workshop as part of ICCV 2025 in Honolulu, Hawai’i, on Sunday, October 19th, from 11:15 am – 11:25 am.
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