The plastic surgery face database is a real world database that contains 1800 pre and post surgery images pertaining to 900 subjects. For each individual, there are two frontal face images with proper illumination and neutral expression: the first is taken before surgery and the second is taken after surgery. The database contains 519 image pairs corresponding to local surgeries and 381 cases of global surgery (e.g., skin peeling and face lift). The details of the database and performance evaluation of several well known face recognition algorithms is available in the paper mentioned below.
The list of URLs is compiled in a text file along with a tool to download the images present at these URLs. The tool will download the images and store them at the specified location.
- Text file containing the URLs (7KB)
(CRC32: D132C4A2, MD5: 0FBE3041D95FEE000CAF263048B52480, SHA-1: 325AAED6F31E4AE1471DE44F91A9BC2B63B0AAFD)
- Tool to download the images (11KB)
(CRC32: 2548A7C1, MD5: 79DF4CF8D12B724DCB6B54827C9C9738, SHA-1: 44731E292E05FFE683C2BB5BC1A67216ACADF2DC)
- To obtain the password for the compressed file, email the duly filled license agreement to email@example.com with the subject line "License agreement for Plastic Surgery Face Database".
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, you must refer to the following paper:
- R. Singh, M. Vatsa, H.S. Bhatt, S. Bharadwaj, A. Noore and S.S. Nooreyezdan, Plastic Surgery: A New Dimension to Face Recognition, In IEEE Transaction on Information Forensics and Security, Vol. 5, No. 3, pp. 441-448, 2010.
Disclaimer: The images in the plastic surgery database are downloaded from the internet and some of the subjects appear on different websites under different surgery labels. Therefore, this database may have some repetition of subjects across different types of surgeries. We have figured out multiple cases with such inconsistencies and provided an errata. If you come across some other cases as well, kindly report it to us.
Please find the text file of errata. The images seperated by comma(,) represent the redundant entries in the database.