SEA Plant Health Close-Ups (50,000 photos)

SEA Plant Health Close-Ups (50,000 photos)

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

Technical specs

Technical specs

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

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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.