AgriStress-500
Precision AI Inc
Before you trust an image model on real field conditions, you need messy pictures to test it against. This is a downloadable set of drone photographs of crops, put together as a test collection for vision and image search models.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Geospatial imagery & remote sensing
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Test an image model on messy field photos
- Drone pictures of crops to download
- Check how a vision model handles real conditions
- Test set for crop image search
- Compare image models on crop stress photos
- Before trusting a model on real fields
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Geospatial imagery & remote sensing
COMMODITY / SCOPE
Row crops · Crop protection
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Dataset download
DEPLOYMENT
You run it yourself
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
Explore more like this
Annotated datasets for the validation of AI algorithms on crops, weeds, diseases, and pests
Wageningen University & Research and Munster Technological University, via agrifoodTEF
Services & solution providers
Before trusting an AI system on a farming or food task you need a way to check it. Provides FAIR annotated image datasets and returns performance metrics for customer algorithms submitted in ONNX format.
Paid or approval
Cloud-hosted
Benchmarks & evaluations
Annotated datasets for the validation of AI algorithms on crops, weeds, diseases, and pests
research-develop
research-and-scientific-knowledge
obtainable-service-or-consultancy
benchmarks-and-evals
Paid or approval
Cloud-hosted
August 17, 2026
- Test my crop and weed algorithm on labelled images
- Get performance numbers for my disease model
- Labelled pest images for validation
- Submit a model and get metrics back
- Independent check of a field vision model
Plant Pathology 2021 - FGVC8
FGVC8 workshop, hosted on Kaggle
Models, data & tools
Before trusting an AI system on a farming or food task you need a way to check it. Identifies the category of foliar diseases in apple trees from leaf images.
Free
Cloud-hosted · Downloadable
Benchmarks & evaluations
Plant Pathology 2021 - FGVC8
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
benchmarks-and-evals
Free
Cloud-hosted · Downloadable
August 17, 2026
- What disease is on my apple leaves
- Identify apple leaf disease from a photo
- Classify foliar disease in apple trees
- Test an apple disease model
- Compare apple leaf disease classifiers
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.