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 data annotation, the full PandaSet dataset will feature:
Location/Environment: Pandaset scenes are selected from 2 routes in Silicon Valley: (1) San Francisco; and (2) El Camino Real from Palo Alto to San Mateo, showcasing complex urban driving scenarios, including steep hills, construction, dense traffic and pedestrians, and a variety of times of day and lighting conditions in the morning, afternoon, dusk and evening.
Product | PandaSet |
Company | Hesai (China) and Scale (USA) |
Function | autonomous driving AI dataset |
Release Date | 2020-05-20 |
#Frames/Images | 60000 |
Locations | USA - San Francisco, Palo Alto, San Mateo |
Industry | Transport & Mobility |
Tech Domain | Robotics and AI |
URL | https://scale.com/open-datasets/pandaset.. |
LeddarTech PixSet Dataset is an autonomous driving AI dataset developed by LeddarTech (Canada) for the transport & mobility industry. The PixSet dataset was released by LeddarTech in 24 February 2021 and provides 29,000 frames of data around urban areas in Canada. 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
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
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
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