14 datasets found

Groups: Object Detection

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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.
  • CARLA

    The CARLA dataset is a complex urban-like environment with multi-agent dynamics, pedestrians, intersections, cross-traffic, roundabout, and changing weather conditions.
  • KITTI Vision Benchmark Suite

    The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.
  • SODA10M

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

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