The subjective test for compressed visual content is typically conducted by few experts called golden eyes. Here, we attempt to characterize the visual experience on JPEG-coded images of ordinary people statistically. To achieve this goal, a new image quality database, MCL-JCI, is constructed and introduced in this work. We explain the test procedure and conduct a preliminary analysis on test results. It is observed that people can only differentiate a finite number of quality levels and the perceived quality plot is a stair function of the coding bit rate. The relationship between the perceived quality plot and image content is discussed.