IMAGE
COMMERCIAL
LABELED
Each submission is three photographs of one defect in a contributor's home somewhere in Kled's global base: the whole room or wall, then closer, then the defect itself, with the issue type named (damp, crack, leak, peeling paint, broken tile). Close-up-only sets and unidentifiable issues do not get through review, and contributors are told not to create damage or include anything that identifies their address. Insurance and inspection models are trained on claims imagery that insurers do not license, and the open alternatives are small crack datasets; the wide-to-close structure here teaches a model to localize a defect in context rather than classify a crop.
Volume
10,000+
Photo sets
Contributors
10,000+
Regions
100+ countries
Updated
What’s in the collection and how it’s delivered.
Data modality
Images
Annotated
Labeled (defect type)
Exclusivity
Non-exclusive rights
Capture tool
Phone camera (in app)
Use cases
Property defect detection and localization, insurance claims triage, multi-scale visual grounding
Format
JPG / PNG / HEIC
Resolution
Native phone camera resolution (JPG, PNG, HEIC)
Total volume
10,000+ photo sets (approx. 90 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.



