BDD100K is an autonomous driving AI dataset product developed by Berkeley Artificial Intelligence Research Lab (USA) for the transport & mobility industry.
The Berkeley Artificial Intelligence Research Lab (BAIR) released the Berkeley Deep Drive dataset or BDD100K on 5 June 2018. The dataset contain driving segments along roads in Berkeley, San Francisco and New York, with close to 120 million frames of data.
Datasets released in 2019 by Aptiv, Argo, Lyft and Waymo have started to incorporate multi-modal data from other sensors such as LiDAR, radar and stereo cameras. While BDD100K lacks the multi-modal data of its newer counterparts, it is the largest dataset based on monocular videos with 120 million image frames across multiple cities, weather conditions, times of day and scene types.
|Company||Berkeley Artificial Intelligence Research Lab (USA)|
|Function||autonomous driving AI dataset|
|Locations||USA - New York, Berkeley, San Francisco, Bay Area|
|Industry||Transport & Mobility|
|Tech Domain||Robotics and AI|
Argoverse is an autonomous driving AI dataset product developed by Argo (USA) for the transport & mobility industry. The Argoverse dataset was released publicly by Argo on 19 June 2019 and provides 16,389,650 frames of data in locations around Pittsburgh and Miami. According to Argo, the Argoverse Dataset is acquired from cars equipped with 2 roof-mounted LiDAR sensors, 7 HD ring cameras and 2 fr.. Read More
KITTI Vision Benchmark Suite is an autonomous driving AI dataset developed by Karlsruhe Institute of Technology (Germany) for the transport & mobility industry. The open dataset was released in 20 March 2012 and provides 15,000 frames of data around locations in Karlsruhe, Germany. Read More
Used by over 8,000 researchers and cited in 250 published scientific papers, NuScenes is an autonomous driving AI dataset product developed by Aptiv and Motional for the transport & mobility industry. The NuScenes dataset was publicly released by Aptiv on 27 March 2019 and the autonomous driving dataset was further expanded by Motional on 2 Sep 2020. According to Aptiv, the nuScenes Dataset is acq.. Read More
PandaSet is an autonomous driving AI dataset product developed by Hesai (China) and Scale (USA) for the transport & mobility industry.The PandaSet autonomous driving dataset was released by Hesai and Scale on 20 May 2020. The dataset contains 60,000 frames of driving imagery around San Francisco, Palo Alto and San Mateo. Combining Hesai’s best in class LiDAR sensors with Scale’s high-quality.. Read More
NuPlan is an autonomous driving AI dataset developed by Motional (USA) for the transport & mobility industry. Read More
Lyft released the Level 5 Dataset on 23 July 2019. According to Lyft, Lyft used a fleet of Ford Fusion vehicles for data collection using two different configurations of LiDARs and cameras. The Lyft Level 5 Dataset includes over 55,000 human-labeled 3D annotated frames, data from 7 cameras and up to 3 LiDARs, a drivable surface map and underlying HD spatial semantic map of the surveyed region (inc.. Read More
Mapillary Vistas Dataset is an autonomous driving AI dataset developed by Mapillary AB (Sweden) for the transport & mobility industry. The Mapillary Vistas dataset was released publicly on 3 rd May 2017 and provides close to 25,000 frames of data around locations in general locations worldwide. Read More