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DAVIS Object Segmentation Dataset

Date

3 years ago

Size

12.6 GB

Organization

Disney Research
ETH Zurich

Publish URL

davischallenge.org

Paper URL

openaccess.thecvf.com

License

Other

Tags

Semantic Segmentation
Dataset Download
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Densely Annotation Video Segmentation dataset (DAVIS) is a high-quality, high-resolution video object segmentation dataset with two resolutions, 480p and 1080p. The dataset includes 50 videos and 3,455 densely annotated frames at the pixel level. The training set contains 30 videos (2079 frames); the validation set contains 20 videos (1376 frames).

Data example:

DAVIS_(Densely_Annotated_VIdeo_Segmentation).torrent
Seeding 2Downloading 0Completed 833Total Downloads 1,473
  • DAVIS_(Densely_Annotated_VIdeo_Segmentation)/
    • README.md
      1.2 KB
    • README.txt
      2.4 KB
      • data/
        • DAVIS-2017-Unsupervised-trainval-480p.zip
          915.24 MB
        • DAVIS-2017-Unsupervised-trainval-Full-Resolution.zip
          3.65 GB
        • DAVIS-2017-scribbles-trainval.zip
          3.65 GB
        • DAVIS-2017-test-challenge-480p.zip
          3.94 GB
        • DAVIS-2017-test-challenge-Full-Resolution.zip
          5.22 GB
        • DAVIS-2017-test-dev-480p.zip
          5.51 GB
        • DAVIS-2017-test-dev-Full-Resolution.zip
          7 GB
        • DAVIS-2017-trainval-480p.zip
          7.78 GB
        • DAVIS-2017-trainval-Full-Resolution.zip
          10.53 GB
        • DAVIS-2017_semantics-480p.zip
          10.55 GB
        • DAVIS-2017_semantics-Full-resolution.zip
          10.62 GB
        • DAVIS-2019-Unsupervised-test-challenge-480p.zip
          10.88 GB
        • DAVIS-2019-Unsupervised-test-challenge-Full-Resolution.zip
          11.68 GB
        • DAVIS-2019-Unsupervised-test-dev-480p.zip
          11.95 GB
        • DAVIS-2019-Unsupervised-test-dev-Full-Resolution.zip
          12.6 GB

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