Stoinski, L. M., Perkuhn, J., & Hebart, M. N. (2023). THINGSplus: New Norms and Metadata for the THINGS Database of 1,854 Object Concepts and 26,107 Natural Object Images. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02110-8
Sikström, S., Stoinski, L. M., Karlsson, K., Stille, L., & Willander, J. (2020). Weighting power by preference eliminates gender differences. PLOS ONE, 15(11).
Stoinski, L. M., Contier, O., Konkle, T., & Hebart, M. N. (2023, May). Revisiting the animacy, size, and curvature organization of human visual cortex. Annual Meeting of the Vision Sciences Society, St. Pete Beach, FL, USA. [pdf]
Stoinski, L. M., Perkuhn, J., & Hebart, M. N. (2022, May). THINGS+: new norms and metadata for the THINGS database of 1,854 object concepts and 26,107 natural object images. Annual Meeting of the Vision Sciences Society, St. Pete Beach, FL, USA. [pdf], [abs]
THINGS is a freely available, large-scale database of 1,854 systematically sampled object concepts and 26,107 high-quality naturalistic images of these concepts. We recently extended THINGS by adding concept- and image-specific norms, 53 higher-level category memberships, and one license-free image per concept.
With this project, we hope to provide researchers with a valuable resource of normed living and non-living object stimuli. Many laboratories around the world have started collecting data with THINGS and made their data publicly available for research purposes. Interested in using THINGS? Check it out here ➔