23 datasets found

The Waymo Open dataset is a large-scale video dataset used for testing object-centric video models.

The KITTI 3D dataset consists of 7,481 images for training and 7,518 images for testing. The labels of the train set are publicly available and the labels of the test set are...

The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing...

The KITTI 3D Object Detection dataset is used for training and testing the proposed Shift R-CNN model.

KITTI-3D benchmark contains a train-ing set of 7481 images and a test set of 7518 images.

The KITTI-360 dataset is an extension of the KITTI dataset, containing 10 new sequences recorded in 2013, with a focus on 360-degree views.

The Waymo Open Dataset and the nuScenes Dataset are used to evaluate the performance of the AFDetV2 model.

A widely-adopted multi-modality benchmark for 3D object detection.

A large-scale benchmark for autonomous driving with 1,000 scenes.

KITTI 3D object detection dataset, containing 7481 training images and 7518 testing images.

The Waymo Open Dataset and the Waymo Open Motion Dataset are used in this paper.

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

Waymo Open Dataset (validation set)

A benchmark for stereo matching and depth estimation.

KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.

Multi-agent collaborative perception dataset and benchmark for autonomous driving

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

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

The Multi-View 3D Object Detection Network is a 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.