SGxP sorghum genotype by phenotype benchmark
Saint Louis University vision lab
Before trusting an AI system on a farming or food task you need a way to check it. Predicting sorghum phenotypes and genetic markers from RGB and laser scanner imagery, with loaders for defined benchmark tasks.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Predict sorghum traits from plant images
- Link sorghum genetics to what you can see
- Use laser scanner data on sorghum plants
- Test models on trait and marker prediction
- Loaders for sorghum benchmark tasks
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
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
PlantInquiryVQA
PlantInquiryVQA authors
Models, data & tools
Diagnosing a plant problem is rarely one question, it is a back and forth that narrows things down. This is a large test set of plant images with multi-step diagnostic questions and answers for checking models that read pictures.
Free · Open source
Self-hosted / on-premise · Downloadable
Benchmarks & evaluations
PlantInquiryVQA
diagnose-protect-assure
crop-protection-and-plant-health
buildable-or-downloadable-component
benchmarks-and-evals
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
- Test an app that diagnoses plants from photos
- Step by step plant problem questions
- Check if a model narrows down a plant disease
- Plant images with diagnostic questions and answers
- Compare models that read plant pictures
Fish CV Challenge Level 1: Species, Weight and Length
Fish CV Challenge organisers (Codabench)
Models, data & tools
Before trusting an AI system on a farming or food task you need a way to check it. Estimates fish species, weight in grams and length in centimetres per segmentation mask, with submitted code run on hidden test data.
Free
Cloud-hosted
Benchmarks & evaluations
Fish CV Challenge Level 1: Species, Weight and Length
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
benchmarks-and-evals
Free
Cloud-hosted
August 17, 2026
- Identify a fish species from an image
- Estimate fish weight from a photo
- Measure fish length automatically
- Test a fish sizing model
- Compare fish measurement code on hidden data
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.
