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KITTI 2015 and KITTI 2012 datasets
The KITTI 2015 and KITTI 2012 datasets are used for stereo matching and object detection tasks. -
KITTI 3D Dataset
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... -
KITTI 2012 dataset
The dataset used for training and testing the proposed EDNet model for efficient disparity estimation. -
KITTI Benchmark Dataset
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... -
Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite
The KITTI Visual Odometry benchmark dataset consists of 22 stereo sequences with ground truth trajectories. -
Monocular 3D Object Detection for Autonomous Driving
The KITTI 3D Object Detection dataset is used for training and testing the proposed Shift R-CNN model. -
The KITTI Vision Benchmark Suite
A benchmark suite for 3D vision tasks. -
KITTI Odometry Benchmark
The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and... -
KITTI-360 dataset
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. -
KITTI 2015 dataset
KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner. -
KITTI odometry dataset
The KITTI odometry dataset is a benchmark for evaluating visual odometry and other computer vision tasks. It contains a large collection of images and corresponding ground-truth... -
KITTI Object Detection Benchmark
The KITTI Object Detection Benchmark consists of 7,481 training images and 7,518 testing images, with 3D LiDAR point clouds and camera images. -
KITTI object detection dataset
The KITTI object detection dataset is used for evaluating the proposed method. -
KITTI 3D Object Benchmark
A dataset for 3D object detection from LiDAR point clouds, containing 7,481 labeled samples and 3,712 training samples and 3,769 validation samples. -
KITTI dataset
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...
