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Virtual Scavenger Hunt – Collect Local Storefront Accessibility Data Using Crowdsourcing and AI

Mar 12 at 3:00 pm - 4:00 pm

Virtual Event Virtual Event

Storefront accessibility can substantially impact the way people who are blind or have low vision (BLV) travel in urban environments. Entrance localization is one of the biggest challenges to BLV people. Improperly designed staircases and obstructive store decorations can create considerable mobility challenges for BLV people, making it more difficult for them to navigate their community hence reducing their desire to travel. Existing digital map services don’t include such storefront accessibility information.

We’ve developed a web application, DoorFront, to collect large-scale accessibility data of NYC storefronts using crowdsourcing and AI (Machine Learning) approach. DoorFront enables volunteers to validate the accessibility information labeled by AI right in their homes. We’ll invite anyone who is interested in volunteering their time to helping the visually impaired participate in this Mapathon. We will offer incentives to 3 volunteers who have completed the most work.


  • Visit https://doofront-web-app-paw2roelga-uc.a.run.app/ to begin!
  • The Mapathon starts at 3pm on 3/12 and ends at 3pm on 3/19. The three volunteers who have completed the most work will receive the following awards. Query image and Validation receive the same scores. Scores are based off of quality and accuracy.
  • The results will be announced on the app website (leaderboard) and the volunteers will also receive email notifications by 3/23.
  • Leaderboard shows the real-time scores, however our team will review the quality and accuracy of the work after the competition ends.
  • Make sure to sign up your account with accurate information.


  • 1st  place: $50 Amazon Gift Card
  • 2nd  place: $30 Amazon Gift Card
  • 3rd  place: $20 Amazon Gift Card


Mar 12
3:00 pm - 4:00 pm
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Hao Tang, CUNY
Jiawei Liu, CUNY
William Seiple, Lighthouse Guild


Event Type
Event Format
Presentation, Showcase