Resources

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 TO OPEN

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 has 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. (Click here for a copy of the poster)



2. ChatLab Facial Anomaly Database (CFAD) ⭆ CLICK HERE TO OPEN

The CFAD was developed to facilitate research on biases towards individuals with facial anomalies. The database allows searching by age, sex, ethnicity, pose, and type/etiology of anomaly. Results include the original stimuli, as well as images at various stages of pre-processing, e.g., normalized to interpupillary distance. If you are planning to publish research that used the CFAD stimuli, please cite:

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. (Click here for a copy of the poster)

A manuscript describing the CFAD is in preparation. In the meantime, should you require a reference published in a peer-reviewed journal, please cite:

Jamrozik, A., Oraa Ali, M., Sarwer, D.B., Chatterjee, A. (2019). More than skin deep: Judgments of individuals with facial disfigurement. Psychology of Aesthetics, Creativity, and the Arts, 13(1), 117–129. https://doi.org/10.1037/aca0000147




The Face Image Meta-Database (fIMDb) is online!

CLICK HERE TO OPEN ⭅

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, 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), 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, 3DSK Face 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).