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PedX 3D Pose Estimation Dataset

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Date

4 years ago

Size

314 GB

Organization

Publish URL

pedx.io

Paper URL

arxiv.org

License

Other

Tags

Autonomous Driving
Featured Image

The PedX dataset is a large-scale multimodal dataset collected from pedestrians at complex urban intersections. The dataset provides high-resolution stereo images and LiDAR data with manually added 2D annotations and automatically added 3D annotations. In addition, the data was collected using two pairs of stereo cameras and four Velodyne LiDAR sensors.

PedX.torrent
Seeding 3Downloading 0Completed 178Total Downloads 285
  • PedX/
    • README.md
      1.06 KB
    • README.txt
      2.11 KB
      • data/
        • calib.tar.gz
          262 GB
          • Sequence 1/
            • pointclouds_20171130T2000
              101.77 GB
            • preview_20171130T2000.mp4
              103.34 GB
            • images-original_20171130T2000
              32.56 GB
            • images-rectified_20171130T2000
              84.55 GB
            • labels-2d_20171130T2000.tar.gz
              84.56 GB
            • timestamps_20171130T2000.tar.gz
              103.34 GB
            • labels-3d-pose_20171130T2000.tar.gz
              84.76 GB
            • labels-3d-segment_20171130T2000.tar.gz
              84.76 GB
          • Sequence 2/
            • pointclouds_20171207T2024
              108.11 GB
            • preview_20171207T2024.mp4
              108.17 GB
            • images-original_20171207T2024
              105.3 GB
            • images-rectified_20171207T2024
              107.31 GB
            • labels-2d_20171207T2024.tar.gz
              107.31 GB
            • timestamps_20171207T2024.tar.gz
              108.17 GB
            • labels-3d-pose_20171207T2024.tar.gz
              107.48 GB
            • labels-3d-segment_20171207T2024.tar.gz
              107.48 GB
          • Sequence 3/
            • pointclouds_20171212T2030
              260 GB
            • preview_20171212T2030.mp4
              262 GB
            • images-original_20171212T2030
              164.57 GB
            • images-rectified_20171212T2030
              233.35 GB
            • labels-2d_20171212T2030.tar.gz
              233.36 GB
            • timestamps_20171212T2030.tar.gz
              262 GB
            • labels-3d-segment_20171212T2030.tar.gz
              233.38 GB
    • images-rectified_20171130T2000
      314 GB

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