As an example, we will set up a scenario where we are required to align overlapping images, like what is done in panorama or aerial photo stitching. One important feature that we need to measure performance is to have a ground truth, a precise measurement of the true condition that we are trying to recover with our approximation method. Ground truth data can be obtained from datasets made available for researchers to test and compare their algorithms; indeed, many of these datasets exist and computer vision researchers use them all the time. One good resource for finding computer vision datasets is Yet Another Computer Vision Index To Datasets (YACVID), https://riemenschneider.hayko.at/vision/dataset/, which has been actively maintained for the past eight years and contains hundreds of links to datasets. The following is also a good resource for data: https://github.com/jbhuang0604/awesome-computer-vision#datasets.
We, however, will pick...