PROV Community Rewards App

Project Info

Department of Spice thumbnail

Team Name

Department of Spice

Team Members

Harri S and 3 other members with unpublished profiles.

Project Description

A PROV App that incentives users to document historical archives with an AI assistant. Collecting PROV points allows a user to purchase a framed copy of an archived image as a reward for contributing.

#community #ai

Data Story

Model References:


title = "The Illustrated Image Captioning using transformers",
author = "Kumar, Ankur",
journal = "",
year = "2022",
url = ""


doi = {10.48550/ARXIV.2201.12086},

url = {},

author = {Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},

keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},

title = {BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation},

publisher = {arXiv},

year = {2022},

copyright = {Creative Commons Attribution 4.0 International}

Colourise a black and white Model:

url = {}
copyright = {jantic/DeOldify is licensed under the MIT License}

Evidence of Work



Project Image

Team DataSets

PROV photographic collections

Description of Use Used as samples for showcasing how captioning will work

Data Set

Challenge Entries

Tagging photographic images: showcasing the magnificent history of Victoria

How can we enable researchers to tag images of digitised records from photographic collections?

Go to Challenge | 6 teams have entered this challenge.

Generative AI: Unleashing the Power of Open Data

Explore the potential of Generative AI in conjunction with Open Data to empower communities and foster positive social impact. This challenge invites participants to leverage Generative AI models to analyse and derive insights from Open Data sourced from government datasets. By combining the power of Generative AI with the wealth of Open Data available, participants can create innovative solutions that address real-world challenges and benefit communities.

Go to Challenge | 29 teams have entered this challenge.