IMAGE
COMMERCIAL
LABELED
Find a plant in the prompted condition, healthy or sick, photograph it close enough to show leaf and stem detail, write what you observe. Describe rather than diagnose; never damage a plant for an example; distant shots and off-prompt photos are refused. Collection runs only in 11 Southeast Asian countries, 50 per contributor. Species are not tagged; the observation is a lay description, not an agronomist's diagnosis, a weak label for disease and a strong one for symptoms. Expect what tropical agritech models deploy into: rice, corn, banana, coconut, cassava, market vegetables, garden plants, which big species sets cover thinly; iNaturalist challenge sets are research-only, Pl@ntNet identifies species, and PlantVillage is lab shots of temperate crops.
Volume
50,000+
Photos
Contributors
5,000+
Regions
Southeast Asia (11 countries)
Updated
What’s in the collection and how it’s delivered.
Data modality
Images
Annotated
Labeled (observed condition)
Exclusivity
Non-exclusive rights
Capture tool
Phone camera (in app)
Use cases
Tropical crop disease and symptom recognition, agritech app fine-tuning, plant-health VLM evaluation
Format
JPG / PNG / HEIC
Resolution
Native phone camera resolution (JPG, PNG, HEIC)
Total volume
50,000+ photos (approx. 150 GB)
Regions
Southeast Asia (11 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.



