Metadata-Version: 2.1
Name: weedcv
Version: 1.0.4
Summary: Image preprocessing and dataset development tools for weed detection.
Home-page: https://github.com/mkutu/weedcv
Author: WeedCV Team
Author-email: help@weedcv.com
License: MIT
Description: # WeedCV
        These tools borrows from [PlantCV](https://plantcv.danforthcenter.org/)
        
        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:
        1. Active and iterative data curation
        2. Labeling that matches highthroughput demands
        3. Metadata
        4. Visualizations
        
        ## 4. How does WeedCV do it?
        1. Dataset development
            * Annotation
            * Review
            * Metadata
            * Visualization
        
        2. Curation 
            * Inspection
            * Reporting
        
        
Keywords: dataset development,weed detection,digital agriculture
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
