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Melbourne Leads Australian Cities on Duplicate Image Cleanup, But Still Trails Amsterdam and Toronto

As digital archives balloon and AI-generated content floods public databases, Melbourne's institutions are racing to purge duplicate imagery — with mixed results.

By Melbourne News Desk · Published 5 July 2026, 6:02 am

4 min read

Melbourne Leads Australian Cities on Duplicate Image Cleanup, But Still Trails Amsterdam and Toronto
Photo: Various / Public domain (Wikimedia Commons)

Melbourne's State Library on Swanston Street quietly completed the first phase of a duplicate-image audit across its digitised photographic collection in June 2026, removing more than 14,000 redundant image files from its public catalogue — a figure that gives some sense of how badly the problem had accumulated. The library's digital collections team flagged the issue internally after users reported search results returning the same Depression-era photographs of Flinders Lane three and four times over. It was an unglamorous fix to an unglamorous problem, but archivists say the scale of it reflects a challenge that is now impossible for major cultural institutions anywhere to ignore.

The stakes are higher than cluttered search results. Duplicate imagery in public databases distorts research, inflates apparent collection sizes reported to funding bodies, and — particularly in the age of AI training datasets — can embed the same flawed or unlicensed image into machine-learning models dozens of times over, compounding any original error. The Australian Communications and Media Authority flagged database integrity as a priority area for 2026, and several state governments have since begun their own audits. Victoria moved earlier than most.

How Melbourne Compares to Amsterdam, Toronto and Singapore

Melbourne sits in a complicated middle position globally. Amsterdam's Rijksmuseum, which completed a full deduplication sweep of its Rijksstudio online collection in early 2025, now uses automated perceptual hashing — a technique that generates a short fingerprint for each image and flags near-identical copies — across all new uploads in real time. The Rijksmuseum's digital team has described the system publicly as standard practice. Toronto Public Library adopted a similar automated protocol in 2024, integrating it with its Digitization Centre on St. George Street. Singapore's National Library Board went further, mandating deduplication checks as a contractual requirement for any vendor delivering digitised content to its repositories from January 2026.

Melbourne's institutions are doing the work, but largely by hand or with piecemeal tooling. The State Library engaged Melbourne-based digital preservation consultancy Arkivum Australia for the June audit. The City of Melbourne's own image library, used by council communications teams and accessible through the Creative Victoria asset portal, had not undergone a formal deduplication review as of the end of the 2025–26 financial year, according to documentation published on the council's open-data portal. The Victorian Public Record Office, based in North Melbourne, has acknowledged deduplication as part of its Digital Archives Program but has not published a completion timeline.

The contrast with Toronto is pointed. Toronto Public Library processed roughly 2.3 million digitised items through its automated system in 2024–25, according to figures in its annual accountability report published in March 2026. The State Library of Victoria's digitised holdings are smaller — approximately 900,000 items as of its most recent annual report — but the gap in tooling investment is real. Perceptual hashing software licences from providers such as Microsoft Azure's Computer Vision API or open-source alternatives like ImageHash run from effectively nothing for small collections to around AUD $8,000–$15,000 annually at institutional scale, making cost a secondary rather than primary obstacle.

What Comes Next for Victoria's Digital Collections

The State Library's Swanston Street team is understood to be evaluating automated tooling for phase two of the audit, which would cover born-digital photographic donations received since 2015 — a category particularly prone to duplication because donors frequently submit both RAW and JPEG versions of identical shots, sometimes across multiple hard drives. Creative Victoria has been approached by at least two Melbourne-based tech startups pitching AI-assisted deduplication services tailored to arts organisations, though no contracts have been announced.

For smaller cultural organisations — the Immigration Museum on Flinders Street, PhotoAccess equivalents, community history groups in suburbs like Footscray and Brunswick — the practical advice from digital archivists is to start with free tooling now rather than wait for a funded program. Open-source scripts using Python's ImageHash library can be run on a standard laptop and will surface obvious duplicates within hours on collections of up to 100,000 images. The problem does not get smaller the longer it sits. Amsterdam learned that lesson a decade ago. Melbourne is learning it now.

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This article was produced by the The Daily Melbourne editorial desk and covers news in Melbourne. See our editorial standards for how we use AI.

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