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.
Product | Canadian Adverse Driving Conditions Dataset |
Company | University of Waterloo (Canada) and University of Toronto (Canada) |
Function | autonomous driving AI dataset |
Release Date | 2020-02-03 |
#Frames/Images | 56000 |
Locations | Canada - Waterloo |
Industry | Transport & Mobility |
Tech Domain | Robotics and AI |
URL | http://cadcd.uwaterloo.ca/ |
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
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
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. 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
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
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