People of Tinder dataset
Published: April 2016
Can you improve this page?
Share your insights with us
People of Tinder is a dataset created in 2016 by software engineer Stuart Colianni that was intended 'to build a better, larger facial dataset' capable of distinguishing between male and female images.
The dataset consisted of 40,000 images of people's faces - half women, half men - from the San Francisco area scraped from dating app Tinder without their knowledge or consent.
The dataset was uploaded to Google-owned AI online community Kaggle and the TinderFaceScraper model published on Github. Both were removed after Tinder accused Mr Colianni of violating its terms of service and people started complaining that their selfies were being used without their permission.
The dataset was downloaded hundreds of times before it was taken down.
News, commentary, analysis
https://thenextweb.com/news/tinder-photo-dataset-40000-scraped-pics
https://www.huffpost.com/entry/40000-photo-tinder-sweep_n_59052818e4b0bb2d086f0335
https://www.ibtimes.com/are-your-tinder-selfies-safe-someone-just-harvested-40000-research-2532415
https://www.reddit.com/r/datasets/comments/6z054s/people_of_tinder/
Page info
Type: Data
Published: January 2023