IMAGE
COMMERCIAL
RAW
Potholes photographed in-app by contributors whose location was verified in New York City, some with a second frame showing the street around the defect. No severity or dimension labels; where a second frame exists, the pair supports defect classification and localization in the scene, and the single-city scope means surface types, markings and lighting are consistent enough to study the defect and not the city. RDD2022, the standard road-damage benchmark, is 47,000 images across six countries under a ShareAlike license; this is a single-city, pedestrian-level counterpart with a commercial license, and one of the best-mapped cities on earth is a useful calibration point before road-condition models meet less-documented streets.
Regions
New York City
Updated
What’s in the collection and how it’s delivered.
Data modality
Images
Annotated
Raw (no labels), location-verified
Exclusivity
Non-exclusive rights
Capture tool
Phone camera (in app)
Use cases
Road-condition monitoring, municipal maintenance prioritization, pavement defect detection and localization
Format
JPG / PNG / HEIC
Resolution
Native phone camera resolution (JPG, PNG, HEIC)
Total volume
Available on request
Regions
New York City
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.
