MVT dataset, Minimum Viewing Time
The dataset is designed to provide objective guidance on the absolute difficulty of an image, bridging the gap between machine and human-level performance in object recognition. The metric utilized is the Minimum Viewing Time (MVT), which determines the difficulty of an image based on the amount of time subjects require to view and classify an object from a briefly flashed image. A shorter viewing time indicates that the image is easier, while longer times indicate a harder image.
Dataset Link
Data Card Author(s)
- David Mayo* (corresponding author)
- Jesse Cummings*
- Xinyu Lin*
- Dan Gutfreund
- Boris Katz
- Andrei Barbu
*equal contribution
Contact
Dataset Overview
Data Subject(s)
- 2,647 participants from Amazon Mechanical Turk
- 200,382 trials
Dataset Snapshot
- 4,771 images from ImageNet and ObjectNet
- 6 image presentation times, 17ms, 50ms, 100ms, 150ms, 250ms, 10sec
- 42 presentations of each image
- 7 presentations per image per timing
- 50 object categories
Content Description
Summarize here. Include links if available.
Additional Notes: Add here.
Sensitivity of Data
Sensitivity Type(s)
- This dataset contains no sensitive PII
Anonymized Fields
- worker_id; contains an anonymized random string corresponding to a unique worker (S/PII were collected as a part of the dataset creation process.)
Dataset Version and Maintenance
Maintenance Status
Limited Maintenance - The data will not be updated, but any technical issues will be addressed.
Version Details
Current Version: 1.0
Last Updated: 05/2023
Release Date: 05/2023
Maintenance Plan
This dataset will be hosted on MIT servers in perpetuity at https://objectnet.dev/flash/ with a backup on dropbox. Our dataset collection toolbox is hosted publicly on github at https://github.com/dmayo/MVT-difficulty
Dataset License
License
Creative Commons
- We release our data under the Creative Commons BY-SA license