[data request] a2d2

• Name of dataset: a2d2
• URL of dataset: https://www.a2d2.audi/a2d2/en.html
• License of dataset: CC BY-ND 4.0
• Short description of dataset and use case(s):

Autonomous driving dataset by audi.
Contains lidar and Images with semantic segmentation labels

The 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.

It features 41,280 frames with semantic segmentation in 38 categories. Each pixel in an image is given a label describing the type of object it represents, e.g. pedestrian, car, vegetation, etc.

Point cloud segmentation is produced by fusing semantic pixel information and LiDAR point clouds. Each 3D point is thereby assigned an object type label. This relies on accurate camera-LiDAR registration.

c3D bounding boxes are provided for 12,499 frames. LiDAR points within the field of view of the front camera are labelled with 3D bounding boxes. We annotate 14 classes relevant to driving, e.g. cars, pedestrians, buses, etc.

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

The issue provides the a2d2 dataset URL and metadata but names no repository files, tests, or entry points. Start by reviewing comparable TensorFlow Datasets integrations and the dataset's license and annotation details. Done would be an accepted TFDS integration with appropriate tests and documentation.