SPair-71k is a large-scale benchmark for semantic correspondence, containing 70,958 image pairs of different perspectives and scales. Compared with previous datasets, this dataset is larger in size and more accurately and richly labeled. This dataset will provide a reliable experimental platform for the study of semantic correspondence issues and help research in related fields.