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A2D2

Audi Autonomous Driving Dataset

A2D2

We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Equipping a vehicle with a multimodal sensor suite, recording a large dataset, and labelling it, is time and labour intensive. Our dataset removes this high entry barrier and frees researchers and developers to focus on developing new technologies instead. The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.Our dataset includes more than 40,000 frames with semantic segmentation image and point cloud labels, of which more than 12,000 frames also have annotations for 3D bounding boxes. In addition, we provide unlabelled sensor data (approx. 390,000 frames) for sequences with several loops, recorded in three cities.

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Audi AG
https://www.audi.com/en.html
Task
Autonomous Driving
Annotation Types
Bounding Boxes
400000
Items
30
Classes
400000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC BY-ND
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