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, please consider citing us:

Workman, C.I. & Chatterjee, A. (in press). The Face Image Meta-Database (fIMDb) & ChatLab Facial Anomaly Database (CFAD): Tools for research on face perception and social stigma. Methods in Psychology, 5(100063):1-9. 

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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 us:

Workman, C.I. & Chatterjee, A. (in press). The Face Image Meta-Database (fIMDb) & ChatLab Facial Anomaly Database (CFAD): Tools for research on face perception and social stigma. Methods in Psychology, 5(100063):1-9.

3. CRediT curriculum vitae ⭆ CLICK HERE FOR AN EXCEL TEMPLATE

The contributor roles taxonomy (CRediT)—fourteen high-level roles that specify the researcher’s contribution to a publication—offers a simple yet effective way of weighing the quality of researcher contributions rather than quantity alone. We propose adding a CRediT section to curricula vitae to move us toward contribution-based standards. Besides making a researcher’s contributions clear, the CRediT section offers insights into expertise and team science. A quantitative role may include “analysis.” A supervisory role may include “conceptualization” and “funding.” “Writing: original draft” indicates that the researcher contributed to their content area. Different combinations of contributions reflect different yet important roles in team science.

Beck, E.D.*, Workman, C.I.*, & Christensen, A.P.* (2022). CRediT where Credit is Due: A Comment on Leising et al. (2021). Personality Science, 3(e1234):32-37. (*Co-first authors)

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


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 (original link dead; now called “A-Z Directory of Face Stimulus Datasets“), 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 (original link dead; permalink available here), 11. Psychwiki Archives of Data and Stimuli (original link dead; permalink available here), 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).