Skip to content

harvardartmuseums/ai-website

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

69 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AI Explorer

AI explorer is a front-end for the Harvard Museums' data set of AI generated captions, descriptions, and tag. This is part of the museum's research in to using 5 different AI computer vision services to interpret its art collections.

While the Harvard Art Museums began collecting AI generated data in 2016, the data was only publicly available through the museum's API. The AI website began development in June 2019 and launched in August 2019. This project was built in-house and is maintained by the department of Digital Infrastructure and Emerging Technology.

Features

  • Individual object data - see all annotations from 5 different AI services for a particular artwork
  • Search by keyword - a user-inputted keyword returns all artworks that were tagged with that word by AI services
  • Search by category - returns all artworks sorted into 12 different broad categories by AI service Imagga

Overview

The AI Explorer is an exploratory and educational website accessing the Harvard Art Museum's research data on how artificial intelligence views art. The website allows users to see how computer vision services Amazon Rekognition, Clarifai, Imagga, Google Vision, and Microsoft Cognitive Services interpret artworks in the Harvard Art Museums collection. Additionally, the site allows users to search by keyword in order to return artworks that were tagged by the AI services with that word.

Requirements

Installation

To get started with this project, use the following commands:

# Clone the repo to your git
git clone https://github.com/harvardartmuseums/ai-website.git

# Enter the folder that was created by the clone
cd ai-website

# Install node dependencies
npm install

# Create an .env file for your Harvard Art Museums API key
touch .env

# Add your personal API key to the .env file
echo "API_KEY = 000000-00000-00000-000000-000000" >> .env

# Start the program
npm start

Acknowledgements

Supported by Harvard Art Museums' office of Digital Infrastructure and Emerging Technology Designed and developed by Marie Konopacki