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
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
Where this data comes from and how it’s licensed.
Every file comes straight from the contributor who provided it and is rights-cleared before it’s listed, so your license traces back to the source.
Contributor
Provides the data and uploads it straight to Kled.
Kled
Clears the rights before anything is listed.
Your team
Licenses it under the terms below.
License terms
Non-exclusive commercial training license.
Consent
Each contributor opted in to this use when they uploaded.
Specs reflect the current collection and may change as new data is added. Final terms are set in your license agreement.



