Aldilafani Rizkan Karim

Soybean Quality

Classification

Soybean Quality Computer Vision Project

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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{
                            soybean-quality-lg07p_dataset,
                            title = { Soybean Quality Dataset },
                            type = { Open Source Dataset },
                            author = { Aldilafani Rizkan Karim },
                            howpublished = { \url{ https://universe.roboflow.com/aldilafani-rizkan-karim-wemtx/soybean-quality-lg07p } },
                            url = { https://universe.roboflow.com/aldilafani-rizkan-karim-wemtx/soybean-quality-lg07p },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-05-16 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Soybean Quality project in your project.

Last Updated

4 months ago

Project Type

Classification

Subject

Anomaly-of-soybean-FCZw

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Views in previous 30 days: 5

Downloads: 3

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

broken-soybeans immature-soybeans intact-soybeans skin-damaged-soybeans spotted-soybeans