Making Connections:

One of the tasks for the Making Connections group was to investigate ways of identifying photographs that were published in the Tribune.  

I started off by focussing on one event to narrow down the results, using key words to pin point a particular photo from the Tribune negative collection to the newspaper article results on Trove. The first key words I started with was Aboriginal Tent Embassy and 1972. From there I was able to search different events and years and match them to the Tribune’s negative collections.

Doing this enabled me to find certain photos that matched with ones being used in the articles, however, this was a lot more difficult than I thought as most of the photos used in the articles were cropped and due to the scanning quality, very heavily contrasted making it hard to decipher if it was a correct match.

At first, I thought it would be easy to also narrow down the search from year to month, however, that was also quite difficult. Even though some collections of photos were taken in January of 1972 as an example, they were not used until later on that same year or not used at all. After matching the negatives to the articles, I created a spreadsheet  Making Connections 1.0 which has the metadata about the collection of negatives, the linking process through Trove, using specific tags and also the metadata of the articles from Trove as well.


Posted By: u3174032

Machine tagging and computer vision

For our class project my team and i have been reviewing facial recognision and tagging software. We each reviewed a software by putting through photographs from four different categories – portraits, meetings, protest and miscellaneous.

the software i used was called Clarifai and my photogrouping was ‘miscellaneous’, below is the photographs and the tags i got from Clarifai.


I also put through two photos from the other three categories shown below –



Review of Clarifai

  • Can import multiply photos
  • Very slow
  • Tags are fairly accurate
  • Sometimes the tags wouldn’t load

Clarifai is a at most basic tagging program, it’s very simple to use and the best thing about it compared to the other programs is that you can import multiply photos at one time. Though you could import multiple photos at a time it did mean sometimes you would be sitting there for ages and sometimes it wouldn’t load at all, so you’d have to refresh and import again. The tags were pretty accurate, the tags shown were what I was able to guess what would appear. This site would cater to people who would want to use it for quick tasks but for people wanting to do complex tasks might want to try a different software.



Week 12: Mapping Places

This week through the help of Tim, the group were able to experiement with Jupyter. When using Jupyter the idea was to return images to the required place (whether it be a specific street, city or area). When running Jupyter, the results returned the photos to their places and can be accessed when clicked upon. Here is an example:

Though it was discovered that the data may need to be cleaned up in order to return more accurate results for the map.

Jupyter was also used to create a heat map, as you can see below:

As for the next week, the group is looking to clean up data that didn’t return correctly and potentially make an interface for the maps. Additionally we are also looking at other ideas to present the photos.

Timeline of Demonstrations covered by the Tribune from 1965 to 1969

Together the Events Team extracted the metadata from the State Library of NSW’s collection and streamlined the information and relevant photographs into a spreadsheet. The streamlined spreadsheet data included a title of the event, new tags and relevant photographs from the original negative strip.

Last week we translated that data into Knight Lab’s Timeline spreadsheet in order to create a timeline of the events we were working with. Our streamlined data made the conversion to Knight Lab’s spreadsheet a simple task and within a week we had a functioning timeline.

Click here to see our timeline!

The timeline also had several categories (such as Anti-Vietnam War and UAW Conference) to help see the nature of a demonstration before even clicking on it.


Making connections – photographs to articles

One of the tasks for our section of the class project was to develop a standardised method for linking descriptions/photographs to newspaper articles.

This method included:

  • Tagging
  • Within the comments section of Trove adding links to the Tribune collection and to the related photograph/article on Trove.
  • Two lists have been created to link the articles and photographs together on Trove.  Making Connections – 10154 (  ) links all the articles and photographs on Trove together. Making Connections – 10154 – Photographs ( ) links only the photographs together.

We have also created a table that connects the Tribune collection with the digitised photograph and articles in Trove. Table 2. Making connections is seperated into three different parts by colour. The yellow section is the metadata the article itself, the blue is the metadata for the Tribune negatives and the green forms connections between these collections.


Posted by: u3158474, u3167810

Making connections

As part of the class project exploring the State Library of New South Wales Tribune Negatives Collection, we have been all about making connections.  Using Trove (as username MakingConnections10154) we have identified other photographic collections which overlap and connect to the Tribune collection through themes of activism, social and political movements, demonstrations and prominent individuals.  A spreadsheet (Table 1. Making connections) has been created to record the basic metadata of the collections we have discovered so far.  We have also used the identified themes of each collection to create tags within Trove as a way of making connections between these various collections.

Title: Item 064:  Tribune negatives including anti-Vietnam War protest, Tribune Fair, and demonstration outside Central Police Court, Sydney, New South Wales, October 1965.

Date:  1965

Institution:  State Library of New South Wales

Creator: Unknown

Collection: Part of Series 01: Negatives from the Tribune (Communist Party of Australia newspaper) featuring social and political movements 1964-1972.

Trove tags: protest movements, peace movements, political activism, demonstrations, social movements.


Acknowledgements:  Mitchell Library, State Library of New South Wales and Courtesy Tribune / SEARCH Foundation.

Title: Anti conscription demonstrations through Melbourne streets.

Date: 1966

Institution:  State Library of Victoria

Creator:  David Glenn

Collection:  Dalton collection

Trove tags: protest movements, peace movements, political activism, demonstrations, social movements.


Acknowledgements:  State Library of Victoria.

Title:  An elderly woman and a young child in a pusher, at a peace rally in Melbourne.

Date: 1960

Institution:  University of Melbourne Archives

Creator: Unknown

Collection:  Archives

Trove tags:  protest movements, demonstrations, social movements, peace movements, Communist party, Australian Socialists.


Acknowledgements: University of Melbourne Archives.

Posted by U3167810, U3158474.

Quick Review: Google Cloud Drag and Drop

Starting us off is Google Cloud Drag and Drop. This service is a demo version and as such does not require a google account, or any sign in process. To use some of Google’s other machine tagging and learning services a full sign-in process is required.

The Drag and Drop service is very user-friendly, all you need is access to an image and away you go! Once dropped the image is processed and various annotations for the image are produced. These are sorted into six tabs; Faces, Labels, Web, Properties, Safe Search and JSON. The maximum file size of images used is 4MB and a user’s browser must have JavaScript enabled.

For the purpose of this project we have been focusing on the ‘Labels’ which are basically tags. They are shown with a percentage number that represents the likelihood of the label’s accuracy, e.g. Monochrome 97%. This service gave fairly accurate results but did not go in-depth into the images contents. Results returned were things like, Monochrome, Photograph, Crowd. Pretty standard and expected stuff (For a full spreadsheet record of the results click here!). One big issue, with the demo version at least, is that users can only process one image at a time. Ultimately making it unrealistic to use on large scale collections like the Tribune negatives collection.

So, Google Cloud Drag and Drop has its pros and cons. Easy to use, free, no sign-up, generally accurate results but those results are not in-depth, and the input method is not optimised for larger collections. Good for a trial but for extracting useful information from the Tribune negatives collection not realistic.

-Machine Tagging Team

Hello from the Machine Tagging team!

Hello! Coming to you from the Machine Tagging team with a run-down on what we’ve been up to. As the Machine Tagging team, we have been investigating machine tagging programs and their applicability to the NSW State Library’s Tribune negatives collection. Our aim is to find a program that can extract useful historical and cultural heritage data from this collection for future users to take advantage of. Our team chose a set of images, with a broad scope of subject, to investigate. We ran this data set through four different programs, Google Cloud Drag and Drop, IBM Watson, Clarifai, and Imagga. We recorded the results and have reviewed each service.