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In the image analysis literature there are a variety of ways people show the usefulness of their method. For example, performance on an ideal signal corrupted by noise, an artificial signal encompassing a range of relevant structures, or real world images.

What are some commonly used test image sets for the following methods?

  • Line and edge detection
  • Corner and junction detection
  • Segmentation
  • Optical flow
  • English / Chinese character recognition
  • Handwriting author recognition
  • Stereo vision / image registration
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    $\begingroup$ Lena and cameraman. For everything. $\endgroup$ – Junuxx Nov 13 '12 at 14:13
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Segmentation : Berkeley Segmentation Dataset and Benchmark

Stereo : Middlebury Stereo Datasets

Shape from specular flow - Shape from specular flow dataset

Also, check out this link : http://clickdamage.com/sourcecode/cv_datasets.php

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Collections of data sets for various computer vision tasks:

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