Advancing autonomous driving
The Zenseact Open Dataset (ZOD) is a multi-modal autonomous driving dataset collected across 14 European countries. It includes curated images, sequences, and full drives, supporting tasks like sensor fusion and mapping. A dedicated SDK with tutorials and a dataset API is available on GitHub for streamlined access and use.
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The Zenseact Open Dataset (ZOD) is a large multi-modal autonomous driving (AD) dataset, created by researchers at Zenseact. It was collected over a 2-year period in 14 different European counties, using a fleet of vehicles equipped with a full sensor suite.
The dataset consists of three subsets: Frames, Sequences, and Drives, designed to encompass both data diversity and support for spatiotemporal learning, sensor fusion, localization, and mapping. Together with the data, we have developed a SDK containing tutorials, downloading functionality, and a dataset API for easy access to the data. The development kit is available on Github.
Frames consist of 100k curated camera images with two seconds of other supporting sensor data, while the 1473 Sequences and 29 Drives include the entire sensor suite for 20 seconds and a few minutes, respectively. To see examples from each of the subsets, please visit their respective pages.
