Brain, Object, Landscape Dataset

What is BOLD5000?

BOLD5000 is a large-scale, slow event-related fMRI dataset collected on 4 subjects, each observing 5,254 images over 15 scanning sessions. Our images are selected from three computer vision datasets.

  1. 1,000 images from Scene Images (with scene categories based on SUN categories)
  2. 2,000 images from the COCO dataset
  3. 1,916 images from the ImageNet dataset


New We're excited to annouce BOLD5000 Release 2.0 is now released! Release 2.0 is complete re-release of functional data from BOLD5000, with optimized procedures for GLM estimation of brain-wide percent signal change in response to the experimental stimuli. Release 2.0 yields significant increases in the reliability of BOLD signal estimates compared to the initial data release. For updates check back regularly or sign up for an update listserv!


  • Nadine Chang Robotics, CMU
  • John Pyles Psychology, UW
  • Jacob Prince Psychology, Harvard
  • Austin Marcus Psychology, CMU
  • Abhinav Gupta Robotics, CMU
  • Michael Tarr Psychology, CMU
  • Elissa Aminoff Psychology, Fordham University
  • Please visit Tarr Lab for more information on our lab work and additional resources.

Diverse Images

We incorporate the two core values of neuroscience and computer vision into one dataset. From neuroscience, we have taken a careful setup of slow event-related to ensure a stimulus to reponse mapping. From computer vision, we have taken some of the most iconic and standard benchmark images. We have indoor/outdoor scenes and a lot of naturalistic images. They're complicated and contain object to object interaction. Explore our images and check out our rich data.

Largest slow event-related fMRI dataset

BOLD5000 is a novel, large-scale, slow event-related fMRI dataset. There's over 5,000 images presented to each subject. Each subject was scanned for 16 sessions. That is a total of 96 hours of scanning done for this dataset!

Easy to Download

All data are readily available for download. We have raw BOLD data, behavioral data, physiological data, images used as stimuli, and even labels. Download, explore, and share your results.