CottonWeedYolo Object Detection Dataset and Pre-Trained Model by Weed

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Explore Dataset

Here are a few use cases for this project:

Agriculture Management: The "CottonWeedYolo" model could be used by farmers and agricultural specialists to identify specific weeds in their fields for targeted weed control, improving cotton yield. This allows for precision agriculture practices.
Botanical Studies: Researchers could utilize this model in their studies for quickly identifying weed species in different samples or areas, helping with biodiversity or plant behavior research.
Eco-Conservation Efforts: Conservationists can use this model to monitor the spread of invasive weed species in natural areas, aiding in timely eradication efforts to preserve native flora.
Development of Smart Gardening Tools: The model could be integrated into mobile apps or devices that help homeowners identify and manage weeds in their gardens or lawns.
Plant Learning for Education: This model can be utilized in educational platforms or tools for teaching students and enthusiasts about different types of weed for their learning and farm practice improvement.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            cottonweedyolo_dataset,
                            title = { CottonWeedYolo Dataset },
                            type = { Open Source Dataset },
                            author = { Weed },
                            howpublished = { \url{ https://universe.roboflow.com/weed-pp05h/cottonweedyolo } },
                            url = { https://universe.roboflow.com/weed-pp05h/cottonweedyolo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-04-19 },
                            }