21 datasets found

Data Categories: Physical Infrastructure

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  • The comma.ai driving dataset

    The dataset consists of 10 videos clips of variable size recorded at 20 Hz with a camera mounted on the windshield of an Acura ILX 2016. In parallel to the videos we also...
  • CULane Dataset

    CULane is a large scale challenging dataset for academic research on traffic lane detection. It is collected by cameras mounted on six different vehicles driven by different...
  • Leddar PixSet Dataset

    Leddar PixSet is a new, publicly available dataset for autonomous driving R&D that contains data from a full AV sensor suite (Cameras, LiDARs, Radar, IMU), and includes...
  • NuScenes Dataset

    The nuScenes dataset is a public large-scale dataset for autonomous driving developed by the team at Motional (formerly nuTonomy). Motional is making driverless vehicles a safe,...
  • KUL Belgium Traffic Sign Dataset

    This dataset contains 7,000+ annotations of traffic signs from thousands of physically distinct traffic signs in Belgium, particularly in the Flanders region.
  • SYNTHIA Dataset

    The SYNTHetic collection of Imagery and Annotations is a dataset that has been generated with the purpose of aiding semantic segmentation and related scene understanding...
  • MIT DriveSeg Dataset

    DriveSeg contains more precise, pixel-level representations of many of the common road objects, but through the lens of a continuous video driving scene. This type of full scene...
  • PandaSet

    Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suite...
  • Berkeley DeepDrive Dataset

    Explore 100,000 HD video sequences of over 1,100-hour driving experience across many different times in the day, weather conditions, and driving scenarios. The video sequences...
  • German Road Signs Dataset

    More than 50,000 unique images of different German road signs in a wide variety of conditions, angles, distances, clarity, resolution and light....
  • Traffic Signal Vehicle and Pedestrian Volumes

    This dataset contains the most recent 8 peak hour vehicle and pedestrian volume counts collected at intersections where there are traffic signals. The data is typically...
  • The General Transit Feed Specification (GTFS) – UP Express

    This dataset provides the schedule data for UP Express trains
  • Monthly GO Rail Ridership Report

    Provides high level ridership on bus routes and train corridors of each month
  • Canadian Adverse Driving Conditions Dataset - University of Toronto

    Complex Driving Scenarios in Adverse Conditions For this dataset, routes were chosen with various levels of traffic, a variety of vehicles and always with snowfall. Sequences...
  • Canadian Adverse Driving Conditions Dataset - University of Waterloo

    Complex Driving Scenarios in Adverse Conditions For this dataset, routes were chosen with various levels of traffic, a variety of vehicles and always with snowfall. Sequences...
  • The General Transit Feed Specification (GTFS) – GO Transit

    This dataset provides the schedule data for GO Transit trains and buses
  • Ford Autonomous Vehicle Dataset

    The Ford vehicles traversed an average route of 66km through the Greater Detroit Area. Each drive includes the DTW airport, University of Michigan Dearborn campus and...
  • TTC Real-Time Next Vehicle Arrival

    Vehicle locations and next vehicle arrival & departure predictions are provided in close to real-time. The XML feed data is accessed using URLs with parameters specified in...
  • Intersection Metrics

    The Intersection Metrics dataset provides many insightful metrics for intersections with traffic control signals. Metrics such as the average wait time from the first, in a...
  • Road Impediments

    The Road Impediments dataset uses the on-board accelerometer located within Geotab’s telematics GO devices to help identify potential road impediments. Geotab refines this data...