test

Plantdoc

Object Detection

Plantdoc 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{
                            plantdoc-mnyeb_dataset,
                            title = { Plantdoc Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-rxscv/plantdoc-mnyeb } },
                            url = { https://universe.roboflow.com/test-rxscv/plantdoc-mnyeb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-03-03 },
                            }
                        

Connect Your Model With Program Logic

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

Source

test

Last Updated

a year ago

Project Type

Object Detection

Subject

leaves

Classes

Apple Scab Leaf Apple leaf Apple rust leaf Bell_pepper leaf Bell_pepper leaf spot Blueberry leaf Cherry leaf Corn Gray leaf spot Corn leaf blight Corn rust leaf Peach leaf Potato leaf Potato leaf early blight Potato leaf late blight Raspberry leaf Soyabean leaf Soybean leaf Squash Powdery mildew leaf Strawberry leaf Tomato Early blight leaf Tomato Septoria leaf spot Tomato leaf Tomato leaf bacterial spot Tomato leaf late blight Tomato leaf mosaic virus Tomato leaf yellow virus Tomato mold leaf Tomato two spotted spider mites leaf grape leaf grape leaf black rot

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License

CC BY 4.0

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