dna3 Object Detection Dataset and Pre-Trained Model by Younghan Kim

Images

5000 images

Explore Dataset

Here are a few use cases for this project:

Agriculture Automation: The "dna3" model, identifying different weed species, could be used to automate weed detection in agricultural fields. This can guide precision farming equipment to identify and eliminate the weeds for better crop yield.
Biodiversity Research: The model can assist botanists or ecologists in identifying and cataloging differing types of weed species in a particular area. By identifying weed species, they can understand the influence of such species on the local ecosystem.
Gardening App: Implement the model in a mobile application to help hobbyist gardeners or professionals identify the type of weed growing in their plants and suggest appropriate methods for weed control.
Environment Conservation: The model could be used to detect invasive weed species in wild areas or nature reserves. Early detection of invasive species can help in proper management, preventing damage to local biodiversity.
Weed Control Services: Businesses specializing in lawn care and weed control can use this model to identify the type of weed in a potential client's property, allowing for more accurate treatment plans and quotes.

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{
                            dna3-u1yip_dataset,
                            title = { dna3 Dataset },
                            type = { Open Source Dataset },
                            author = { Younghan Kim },
                            howpublished = { \url{ https://universe.roboflow.com/younghan-kim-whxpt/dna3-u1yip } },
                            url = { https://universe.roboflow.com/younghan-kim-whxpt/dna3-u1yip },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }