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
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
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: opencv-python (>4)
Requires-Dist: scikit-image (>0.17.0)

# 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



