The list below gives a summary of how the design criteria mentioned in Section 2 are fulfilled in the Columbia Photographic Images and Photoreal- istic Computer Graphics Dataset: 1.  PIM of a reliable source: The Personal  set are from the authors' and Greenspun's personal collection, therefore the images are certain to be photograph. 2.  PRCG from reliable sources: Only PRCG from trustable websites are downloaded. These trustable websites requires the PRCG to be submitted with the name and the contact information of the creator. 3.  The content match for PIM and PRCG: The content of images in the PIM and PRCG sets are limited to natural scene, which is defined as scenes commonly encountered by human. PIM shown in Figure 5 and PRCG shown in Figure 4 demonstrate the content match between the PRCG  set and the Personal Columbia  set. 4.  PIM with diversity in terms of the image content, the camera models and the photographer styles: Although the Personal set has PIM of reliable source, it has limited diversity in terms of the image content, the camera model and the photographer style. This shortcoming is overcome by having the Google  set, which is obtained from the Internet and is supposedly diverse in terms of the image content, the camera model and the photographer style. 5.  PRCG with diversity in terms of the image content and the rendering techniques: Ensuring a variety of PRCG content cate- gories such as human, animal, building, scenery, indoor, outdoor, ob- jects and so on. The PRCG are also generated using different high-end computer graphics techniques (e.g., global illumination, soft shadow- ing, environment map) and software (e.g., SoftImage, Maya and so on). 6.  PRCG of high photorealism and from high-quality rendering techniques: From the available rendering information of the PRCG set, the PRCG are mainly generated with high-quality rendering effects such as global illumination, caustics effect, simulation of camera depth of field and so on. The PRCG are also subjectively evaluated to be highly photorealistic. 7.  For evaluating the robustness of the classifier with respect to the image processing operations on PIM: The RAW format of 7