Counterfeit and Genuine Pairs (5,000 pairs)

Counterfeit and Genuine Pairs (5,000 pairs)

IMAGE

COMMERCIAL

LABELED

Contributors who own a fake and a genuine version of one item shoot them side by side in the same light from the same four angles (front, back, logo, label or serial), then say which is fake and what gave it away. Single items, mismatched angles and missing close-ups are rejected; one pair per contributor, so categories follow what gets faked where contributors shop, from Jakarta to London. The label is the owner's belief with a stated reason, not a brand authentication. Brands hold counterfeit samples and release none, so counterfeit models mostly train on one rights holder's seizures; consumers own matched pairs too, usually by accident, and matched capture isolates product from photographic difference.

Volume

5,000+

Pairs

Contributors

5,000+

Regions

100+ countries

Updated

Technical specs

Technical specs

What’s in the collection and how it’s delivered.

Data modality

Images

Annotated

Labeled (which is fake and why)

Exclusivity

Non-exclusive rights

Capture tool

Phone camera (in app)

Use cases

Counterfeit detection and brand protection, fine-grained authenticity classification, marketplace screening

Format

JPG / PNG / HEIC

Resolution

Native phone camera resolution (JPG, PNG, HEIC)

Total volume

5,000+ pairs (approx. 100 GB)

Regions

100+ countries

Purity level

99%+ passed QA review

Ready to test
this dataset?

Ready to test
this dataset?

Get a sample set to evaluate, or talk to our data team about volume, exclusivity, and custom collection.

Get a sample set to evaluate, or talk to our data team about volume, exclusivity, and custom collection.