Datasets › RADDet

RADDet (Range-Azimuth-Doppler based Radar Dataset)

Introduced by Ao Zhang et al. in RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users2 May 2021 archive 2025-07-28

RADDet is a radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding boxes on the Cartesian Bird-Eye-View range map. It is used to train and evaluate methods for object detection using automotive radars.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 9 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • RADDet

1 variant name, as the archive lists them.

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