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FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomou...
Moving Object Detection (MOD) dataset for fisheye cameras, focusing on autonomous driving scenes. -
KITTI Dataset for Autonomous Driving
The KITTI dataset is a large-scale dataset for autonomous driving, consisting of 15,000 images with annotated objects. -
BDD100K MOTS
The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing. -
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... -
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. -
Stanford Drone Dataset
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... -
KITTI 2012
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. -
KITTI Vision Benchmark Suite
The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles. -
SemanticPOSS
A point cloud dataset with large quantity of dynamic instances, consisting of 2,988 real-world scans with point-level annotations. -
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... -
KITTI 2015
The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.