Deploy Looted-Art Detector

Make it easy for anyone to use the Looted-art Detector we created at last year's Glamhack2020.

⛶ Full screen

The goal is to create an easy-to-use online tool that analyses provenance texts for key indicators: UNCERTAINTY, UNRELIABILITY, ANONYMITY and RED FLAG.

The user uploads the file to analyse, and the tool enhances the file with quantitative information about the provenance texts.

Try it out! https://artdata.pythonanywhere.com

Title

Event finished

17.04.2021 17:30

The site is live at https://artdata.pythonanywhere.com/ !

17.04.2021 14:36 ~ rae_knowler

Worked on documentation

17.04.2021 14:24 ~ LaZu

Team forming

rae_knowler has joined!

17.04.2021 13:10

Event started

16.04.2021 08:30

Team forming

LaZu has joined!

16.04.2021 05:18

Project started

Initialized by LaZu 🎉

16.04.2021 05:18

Connect to our community on: forum.opendata.ch | twitter | facebook

All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Guidelines on our wiki.

Creative Commons LicenceThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.

GLAMhack 2021