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 – coming soon!)

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. Click here for information about the CFAD, including information about the numbers of stimuli and their features.

fIMDb Information

Face Image Meta-Database (fIMDb) version 2 is now out! Now with info or estimates on: number of photo sets per source (and numbers of neutral and other sets — e.g., facial emotions), number of subjects per source (with approximate sex distributions), total number of images, approximate number of viewpoints, whether the sources includes photos from more than one ethnicity, whether it includes more than one age group, whether meta-data are available, the photo category (e.g., posed, wild), the reference(s) for the source (e.g. DOIs). Toggle comments or mouse over for column headers for descriptions. These numbers are from my personal notes, which I’ve collated for the purpose of making the original database more useful. There may be mistakes or errors — please verify the numbers yourself! If you spot errors, please do let me know. You are free to leave comments in the database itself, which I will address whenever I’m able. A few estimated figures about the fIMDb: links to >2.5 mil images, 242 sets, >32k subjects (~33% F), median 2 viewpoints per set (max ~200), 73% with more than one ethnicity, 66% with more than one age group, approximately 58% with some kind of metadata.
If you haven’t already, please also check out Ryan Stolier‘s meta-database, which made this undertaking substantially easier – especially useful if you’re after face processing tools or want more detail about some of these databases than I have provided. Many of the other meta-databases are out-of-date, linking to stimulus sets that are no longer available or have moved elsewhere on the web. Furthermore, although these meta-databases demonstrate significant overlap, each also lists a few stimulus sets that aren’t provided by the other databases — to my knowledge, at least, there is no existing resource that has compiled all of this information into one place.
The complete list of databases summarized in my meta-database: 2. Base Dataface, 3. CNBC Wiki Image Databases, 4. CogSci Stimulus Sets, 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, 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).

CFAD Information

Check back soon!