Although people can remember a massive number of pictures (Standing, 1973) , the fidelity with which human memory can represent such a large number of items has not been tested. We conducted three large-scale memory experiments (2500+ objects or scenes) and systematically varied the amount of detail required to succeed in subsequent memory tests. Contrary to the commonly accepted view that natural image representations contain only the gist of what was seen, our results show that human memory is able to store an incredibly large amount of visual images with a large amount of visual detail per item: for instance, observers remembered 87% of images with enough detail to distinguish an object they had viewed from the same object in a different state or pose (for example, a coffee cup that was half empty versus the same cup full) . These results present a challenge to neural and computational models of object and natural image recognition, which must be able to account for such a large and detailed storage capacity.