Below are links to resources that I am providing in hopes they might aid other researchers. I will add more resources as they become available. Please feel free to use them!

1. Face Image Meta-Database (fIMDb – CLICK HERE)

The fIMDb provides detailed information about sources for face photographs intended for use in research. Click here for information about the fIMDb, including statistics, a list of the resources consulted during the construction of the fIMDb, and suggestions for high quality sources for face stimuli.

If the fIMDb helped you find the stimuli you’re using in a project and you feel compelled, feel free to mention us in your acknowledgements or even to cite the following:

Workman, C.I., Jamrozik, A., Rosen, M.E., Chatterjee, A. (2019, March). The Face Image Meta-Database and Chatlab Facial Anomaly Database: Tools to Facilitate Neuroscience Research on Face Perception and Social Stigma. Poster presented at the 26th Annual Meeting of The Cognitive Neuroscience Society, San Francisco, CA, USA.

2. ChatLab Facial Anomaly Database (CFAD – CLICK HERE)

Although it is well-established that people with facial differences, like scars or facial paralysis, are subjected to biases and stereotyping, a dearth of research has examined the sources of such biases and their psychosocial consequences. In order to facilitate such research, we have constructed the CFAD — this is, to our knowledge, the only source of face stimuli featuring individuals with facial anomalies that is currently accessible to researchers.

fIMDb Information

Face Image Meta-Database (fIMDb) version 3 is now out!
The complete list of databases summarized in the meta-database: 1. Ryan Stolier’s Face Stimulus and Tool Collection (FCST), 2. Base Dataface, 3. CNBC Wiki Image Databases, 4. CogSci Stimulus Sets (link dead but leaving for now), 5. Database: Faces & Sketchs, 6. Evolved Person Perception & Cognition Lab Face Stimuli, 7. Face Databases, 8. Face Databases From Other Research Groups, 9. Face Recognition Homepage Databases, 10. LISA Face Database (link dead but leaving for now), 11. Psychwiki Archives of Data and Stimuli, 12. Resources for Face Detection, 13. TDLC Tool Kit Resources, and 14. Wikipedia’s list of facial expression databases. Additional stimulus sets were also identified through web searches.
The following are the “best” sources for face photos in my opinion, where “best” reflects some combination of the following factors: photographs quality, availability of neutral faces, of different ethnicities, and of different ages, and availability of normative data (e.g., attractiveness): Chicago Face Database, Face Research Lab London Set, Multi-Racial Mega-Resolution Database of Facial Stimuli (MR2; limited age range), Karolinska Directed Emotional Faces (KDEF; limited age range), Oslo Face Database (limited age range), Radboud Faces Database (limited age range), Center for Vital Longevity Face Database (limited norms), Glasgow Unfamiliar Face Database (GUFD; limited norms), and the FACES Database (single ethnicity).