13 datasets found

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving

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

The KITTI dataset is a large-scale dataset for autonomous driving, consisting of 15,000 images with annotated objects.

The Automotive Radar Dataset is a dataset containing data collected from a scanning Navtech radar in various weather conditions.

RADIATE is a radar dataset for automotive perception in bad weather, including 3 hours of annotated radar images with over 200K labelled road actors.

The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh.

BDD100K Dataset is a large-scale dataset for autonomous driving, containing 100,000 images, with 20,000 images for training and 80,000 images for testing.

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 Stanford Drone Dataset is a well-established benchmark for human trajectory prediction in bird’s eye view. The dataset consists of 20 scenes captured using a drone in...

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

SODA10M contains 10M un-labeled images and 20K labeled images of size 1920 × 1080 with default format of JPEG.

The CODA dataset is a real-world road corner case dataset for object detection in autonomous driving.

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...