Agri-LLaVA-Anonymous/Agri_LLaVA_VQA_Bench
Publisher not stated
Teams building assistants that answer questions about farm photos need a shared yardstick. This is a published test set of agricultural images with questions and reference answers, for scoring models that handle text and pictures.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Score a model on questions about farm photos
- Shared yardstick for farm image assistants
- Reference answers for agricultural picture questions
- Compare models on farm photo questions
- Test an assistant on field images
- Test data for text and image farm models
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Research & scientific knowledge
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Model download / weights · Code repository
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
Agribench_test
CAtttttttt (community)
Models, data & tools
When you tweak a model for farming questions you need a quick way to see whether anything broke. This is a small downloadable test split of agriculture questions you can run a language model against.
Free · Open source
Self-hosted / on-premise · Downloadable
Benchmarks & evaluations
Agribench_test
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
benchmarks-and-evals
Free · Open source
Self-hosted / on-premise · Downloadable
August 23, 2026
- Quick check after tuning a farm model
- Small test set of farming questions
- See if changes broke my model
- Run a language model against crop questions
- Fast evaluation for agriculture answers
Requirements and Guidance for Model Calibration, Validation, Uncertainty, and Verification for Soil Enrichment Projects
Climate Action Reserve
Models, data & tools
Before trusting an AI system on a farming or food task you need a way to check it. Requires soil carbon models to meet bias limits and 90 percent confidence coverage of 90 percent prediction intervals, checked by expert verifiers.
Free
Self-hosted / on-premise · Downloadable
Benchmarks & evaluations
Requirements and Guidance for Model Calibration, Validation, Uncertainty, and Verification for Soil Enrichment Projects
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
benchmarks-and-evals
Free
Self-hosted / on-premise · Downloadable
August 17, 2026
- What accuracy must a soil carbon model meet
- Rules for validating a soil carbon model
- Bias limits for carbon project models
- Prepare a soil model for verification
- Requirements for soil enrichment projects
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.
