Image preprocessing and dataset development tools for weed detection.
Project description
WeedCV
These tools borrows from PlantCV
WeedCV is a simple tool for developing an image dataset for weed detection.
1. Whom does the package serve?
- Researchers
- Tech agronomists
- Image dataset developers in the natural sciences
- Students
2. What does the package do?
- Provide tools for developing a weed image dataset
- Faciliatates the active curation of a high-throughput data designed for automatic weed detection
3. Why is WeedCV useful?
- Addresses the need for large, labeled, agricultural, image datasets _ Provides an dataset curation system capable of responding to model results
Emphasizes:
- Active and iterative data curation
- Labeling that matches highthroughput demands
- Metadata
- Visualizations
4. How does WeedCV do it?
-
Dataset development
- Annotation
- Review
- Metadata
- Visualization
-
Curation
- Inspection
- Reporting
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