2 datasets found
  1. P

    GRID Dataset Dataset

    • paperswithcode.com
    Updated May 16, 2020
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    (2020). GRID Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/grid
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    Dataset updated
    May 16, 2020
    Description

    The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.

  2. O

    GRID Dataset

    • opendatalab.com
    zip
    Updated Sep 22, 2022
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    Queen Mary University of London (2022). GRID Dataset [Dataset]. https://opendatalab.com/OpenDataLab/GRID_Dataset
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    zip(29468522 bytes)Available download formats
    Dataset updated
    Sep 22, 2022
    Dataset provided by
    Queen Mary University of London
    License

    https://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.htmlhttps://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html

    Description

    The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2020). GRID Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/grid

GRID Dataset Dataset

Explore at:
Dataset updated
May 16, 2020
Description

The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.

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