Oxford Robotcar Dataset is an autonomous driving AI dataset developed by Oxford Robotics Institute (UK) for the transport & mobility industry.
The Oxford Robotics Institute released the Oxford Robotcar Dataset in 2016. The dataset contained around 20 million frames of driving imagery around central Oxford, England.
|Product||Oxford Robotcar Dataset|
|Company||Oxford Robotics Institute (UK)|
|Function||autonomous driving AI dataset|
|Locations||UK - central Oxford|
|Industry||Transport & Mobility|
|Tech Domain||Robotics and AI|
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
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
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
NuReality is an autonomous driving AI dataset and metaverse platform (virtual world) developed by Motional (USA) for the transport & mobility industry. Its key value is to enable autonomous-driving researchers and developers to make use of its custom-built virtual reality (VR) environment to study the interactions between autonomous vehicles (Avs) and pedestrians. Read More
Autonomous driving AI datasetMetaverse platform (virtual world)
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