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MSU Video super-resolution Dataset

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Date

3 years ago

Size

351.17 MB

Publish URL

videoprocessing.ai

Tags

Image Classification
Featured Image

MSU Video Super Resolution Benchmark is a dataset for video super-resolution tasks. The dataset contains the most complex content in detail restoration tasks: faces, text, QR codes, license plates, textures without displayed patterns, small details. The videos include different types of motion and different types of degradation: bicubic interpolation (BI), Gaussian blur and downsampling (BD). The resolution of all input video sequences is 480×320.

MSU.torrent
Seeding 2Downloading 0Completed 806Total Downloads 813
  • MSU/
    • README.md
      1.17 KB
    • README.txt
      2.33 KB
      • data/
        • msu_vsr_input.zip
          351.17 MB

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