18 datasets found

The DAIR-V2X dataset is a large-scale dataset for vehicle-infrastructure cooperative 3D object detection.

A large-scale dataset for autonomous driving and monocular 3D object detection

A robust framework for vision-based roadside 3D object detection

A dataset for 3D object detection and scene understanding.

The dataset contains six object sequences with multiple instances of the same object with different levels of occlusion.

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

The dataset used in the paper for object detection, self-driving, and UAV racing tasks.

LINEMOD dataset is a widely used instance-level 6D object pose estimation dataset which consists of 13 different objects with significant shape variation.

The KITTI Object Detection Benchmark consists of 7,481 training images and 7,518 testing images, with 3D LiDAR point clouds and camera images.

The KITTI val split is a subset of the KITTI dataset, used for validation and testing.

The H3D dataset for full-surround 3D multi-object detection and tracking in crowded urban scenes.

The TransFusion model is a robust LiDAR-camera fusion for 3D object detection with transformers.

The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.

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

The VoxelNet dataset is a large-scale dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations.

The KITTI benchmark suite is a large-scale dataset for 3D object detection, consisting of 7,481 training samples and 7,518 test samples.

The dataset used in the paper is Argoverse-HD, Cityscapes, and nuScenes.

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...