Audi Autonomous Driving Dataset (A2D2) is an autonomous driving AI dataset developed by Audi (Germany) for the transport & mobility industry.
Audi released the A2D2 (Audi Autonomous Driving Dataset) in 2020. The dataset contained 41,277 frames of driving imagery in the southern cities of Germany.
|Product||Audi Autonomous Driving Dataset (A2D2)|
|Function||autonomous driving AI dataset|
|Locations||Germany - southern cities|
|Industry||Transport & Mobility|
|Tech Domain||Robotics and AI|
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 fr.. Read More
Apolloscape is an autonomous driving AI dataset product developed by Baidu (China) for the transport & mobility industry. Baidu released the Apolloscape dataset on 19 March 2018.The ApolloScape is part of the Baidu Apollo Program. Its dataset contains RGB videos with high-resolution image sequences (146,997 frames) and per-pixel annotation, along with survey-grade dense 3D points with semantic s.. 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
Waymo released its open dataset on 21 August 2019. According to Waymo, the Waymo Open Dataset contains data from 1,000 driving segments. Each segment captures 20 seconds of continuous driving, corresponding to 200,000 frames at 10 Hz per sensor. Each segment contains sensor data from five high-resolution Waymo lidars and five front-and-side-facing cameras, and includes lidar frames and images with.. 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
Canadian Adverse Driving Conditions Dataset is an autonomous driving AI dataset developed by University of Waterloo (Canada) and University of Toronto (Canada) for the transport & mobility industry. Canadian Adverse Driving Conditions Dataset was published in 2020 and contains 56,000 frames of imagery featured adverse/snow driving conditions in Waterloo, Canada. 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