-
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...
