Clo-Sket is a database of clothing sketch pictures that had been produced based on six categories of clothing photograph images, including dresses, blouses, shirts, pants, skirts, and jackets. These images were further decomposed into 23 sub-categories. Ten photo samplings from each sub-category were sampled, making up 230 photograph images. Based on each photograph, ten sketchers sketched the clothing, resulted in a total of 2300 clothing sketch images. The dataset can be used for cross-domain (between photo and sketch) image matching, image retrieval. It can be used for training, testing and validating the classification algorithm based on machine learning or deep learning, due to the amount of the sketch image and sketch’s intra variability within one sub-category.