9 datasets found

NGSIM is a collection of video-transcribed datasets of vehicle trajectories on US-101, Lankershim Blvd. in Los Angeles, I-80 Emeryville. It contains approximately 45 minutes of...

The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season.

The A2D2 dataset is a driving dataset containing front-facing camera images and their corresponding steering angles.

The Waymo dataset is a LiDAR-based semantic segmentation dataset, which consists of 798 sequences for training and 202 for validation.

The SullyChen dataset is a driving dataset containing front-facing camera images and their corresponding steering angles.

The Honda, Waymo, A2D2, and SullyChen datasets are used for developing machine learning models for driving-related tasks.

The dataset used in the paper is a virtual reality driving dataset with gaze coordinates, driving speed, and course information.

The dataset used in the paper is a driving dataset with gaze coordinates, driving speed, and course information.

The dataset used in the paper is a pre-trained ResNet-50 classifier, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation.