By the Numbers: Singapore's War on Duplicate Images Is Bigger Than You Think

Somewhere between 12 and 18 percent of all product images listed on major Singapore e-commerce platforms at any given time are duplicates, near-duplicates, or images that do not match the item being sold. That is the working estimate circulating among digital asset managers and platform compliance teams — and it is driving a quiet but accelerating push by both the private sector and government agencies to automate image verification at scale.

The timing matters. Singapore's Infocomm Media Development Authority flagged digital content integrity as a priority in its 2025–2030 Digital Connectivity Blueprint, published in late 2024. Retailers on Lazada Singapore and Shopee's Singapore marketplace are operating under tightened listing-accuracy guidelines that came into force in the first quarter of 2026. Simultaneously, national agencies including the Housing and Development Board and the Urban Redevelopment Authority have been quietly auditing their own digital asset libraries after internal reviews found tens of thousands of redundant image files stored across legacy content management systems.

The Numbers Behind the Problem

Scale is the first shock. The HDB's online property portal alone hosts more than 400,000 active resale flat image assets, according to figures drawn from publicly available platform documentation. Even a conservative five percent duplicate rate implies 20,000 redundant files consuming storage, slowing search indexing, and — more consequentially — occasionally surfacing mismatched photographs against the wrong listing. One flat in Tampines Street 82 spent six weeks in early 2025 shown online with interior photographs from a Queenstown unit, according to a complaint log summary published by the Singapore Consumers Association of Singapore.

Commercial platforms face worse ratios. Research published by the National University of Singapore's School of Computing in March 2026 found that perceptual hashing — a technique that detects visually similar images even after minor edits, colour shifts, or recompression — identified a duplication rate of 17.4 percent across a sample dataset of 1.1 million product images scraped from Singapore-based retail listings. The study, which ran across the second half of 2025, estimated that duplicate and misplaced images contributed to a measurable increase in return rates for electronics and fashion goods, categories where accurate visual representation drives purchase decisions most directly.

Storage costs add another dimension. Enterprise cloud storage in Singapore, priced through providers operating out of data centre clusters in Jurong and Tuas, runs at approximately SGD 0.025 per gigabyte per month for standard-tier object storage. For a mid-sized retailer managing 500,000 product images averaging 2MB each — roughly one terabyte — eliminating a 15 percent duplicate load saves around SGD 3.75 per month in raw storage. That sounds trivial. Multiply it across a platform managing 50 million images, as the larger regional marketplaces do, and the annual saving exceeds SGD 450,000 from storage reduction alone, before counting the compliance and customer-service costs avoided.

What Platforms and Agencies Are Doing About It

Automated deduplication is now standard in the roadmaps of most Singapore government digital agencies. GovTech Singapore, which manages the technical infrastructure underlying portals including Singpass and LifeSG, confirmed in its 2025 Annual Report that it deployed AI-assisted digital asset management tools across six agency platforms during the year, with image deduplication among the listed functions. The report does not break out specific image volumes processed.

On the commercial side, Shopee Singapore introduced mandatory image-quality API checks for new listings in January 2026, rejecting uploads flagged as exact duplicates of existing catalogue entries. Sellers operating out of neighbourhoods like Geylang Serai's cluster of home-based businesses and the Ubi Techpark light-industrial zone have reported receiving automated rejection notices at rates they describe as higher than expected — a signal that the problem was more pervasive than previously acknowledged.

For businesses still managing image libraries manually, the practical path forward runs through perceptual hashing tools, several of which are available as open-source software, and through periodic audits timed to major catalogue refreshes. IMDA's SMEs Go Digital programme covers eligible digital asset management consultancy costs at co-funding rates of up to 70 percent for qualifying small businesses, under grant conditions that were last updated in April 2026. Businesses should check directly with IMDA for current eligibility criteria before budgeting for any remediation project.