DeepCottonWeeds and YOLOWeeds benchmark
Michigan State University
Before trusting an AI system on a farming or food task you need a way to check it. Object detectors on multi-class weed detection in cotton production, comparing YOLO family models on a shared annotated image set.
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
- Detect weeds in cotton fields
- Identify weed species from cotton field photos
- Compare weed detection models
- Annotated cotton weed images to work with
- Test a detector on several weed classes
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
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