CCTV Traffic Scene Semantic Segmentation Dataset

Welcome to the fascinating world of autonomous driving, powered by our rich and diverse datasets. These datasets, meticulously curated and annotated, are the lifeblood of the self-driving car industry, fueling advancements across various domains.

The "CCTV Traffic Scene Semantic Segmentation Dataset" offers a unique perspective for autonomous driving development, capturing the intricacies of traffic scenes from a stationary point of view. Utilizing high-resolution CCTV footage from road monitoring cameras, with resolutions exceeding 1600 x 1200 pixels and a frame rate of over 7 fps, this dataset provides detailed instance segmentation of various elements in traffic, including humans, animals, cycling vehicles, automobiles, and road barriers. It also encompasses a range of weather conditions, offering a robust dataset for training AI systems to understand and interpret diverse traffic scenarios from a fixed vantage point.