66 jeux de données trouvés

Apollo Open Data has Annotation data and Demonstration data on Video, LiDAR, vehicle data, and bounding boxes. Each data category here consists of Laser Point Cloud Obstacle...

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 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...

The Cambridge-driving Labeled Video Database (CamVid) is the first collection of videos with object class semantic labels, complete with metadata. The database provides ground...

The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About...

Bosch Small Traffic Lights Dataset is an accurate dataset for vision-based traffic light detection. Vision-only based traffic light detection and tracking is a vital step on the...

The data is hosted on the QNX Foundry 27 site. To access this, a user would first need to create a free 'MyQNX' account at this link: https://www.qnx.com/account/login.html User...

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...

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,...

The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK captured over a period of over a year. The dataset captures many different...

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

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...

The PreSIL dataset consists of over 50,000 instances and includes high-definition images with full resolution depth information, semantic segmentation (images), point-wise...

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...

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...

The Waymo Open Dataset is comprised of high resolution sensor data collected by Waymo self-driving cars in a wide variety of conditions. This dataset has been released publicly...

A diverse street-level imagery dataset with pixel accurate and instance specific human annotations for understanding street scenes around the world. Note: The dataset is free...

ApolloScape, part of the Apollo project for autonomous driving, is a research-oriented project to foster innovations in all aspects of autonomous driving, from perception,...

The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many...

This set provides data regarding wireless communications between vehicles and road side units. Two separate datasets are provided (normal scenario) and in the presence of...