73 datasets found

A dataset of paired map and aerial images, used to train a Pix2Pix model for image-to-image translation.

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.

The CARLA dataset is a complex urban-like environment with multi-agent dynamics, pedestrians, intersections, cross-traffic, roundabout, and changing weather conditions.

The Kaggle SAP dataset is a publicly available dataset used for steering angle prediction in autonomous vehicles.

The SemanticKITTI dataset is a LiDAR-based semantic segmentation dataset, which consists of 10 sequences for training and 1 for validation.

The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

The MV3D dataset is a benchmark for 3D object detection in autonomous vehicles. It contains 3D point clouds and corresponding bounding boxes.

The Waymo Open Motion Dataset is a large-scale dataset for autonomous driving, containing 104,000 20-second frames of driving scenarios marked at 10 Hz.

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...

A dataset of highways used to test the generalization of a deep neural network for semantic segmentation of road maps from remission grid maps.

A dataset of tens of kilometers of manually marked road lanes used to train a deep neural network for semantic segmentation of road maps from remission grid maps.

ACDC dataset contains 100 samples with the cavity of the right ventricle (RV), the myocardium of the left ventricle (MYO), and the cavity of the left ventricle (LV) to be...