PlantVilage Poly Instance Segmentation Dataset and Pre-Trained Model by Jinyoon Kim

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Explore Dataset

Here are a few use cases for this project:

Agricultural Disease Diagnosis and Monitoring: This model could be used by farmers or agricultural scientists to quickly identify and monitor the spread of specific plant diseases in crops, enabling faster response times to prevent widespread damage.
Smart Gardening: Home gardeners could use this model through a mobile app to identify diseases on their plants and receive guidance on how to treat them. The app could guide users to capture leaf images and provide real-time diagnoses.
Educational Tool: The model could be used in biology or botany courses to teach students about plant diseases. It could allow students to identify diseases just from leaf image datasets and learn about disease etiology, symptoms, and management.
Research in Plant Pathology: Scientists or researchers working in the field of plant pathology could use this model to classify plant diseases more efficiently without requiring extensive laboratory testing, thus accelerating their research.
Plant Nursery Management: Workers at plant nurseries or botanical gardens can use this model to maintain the health of diverse plants. By capturing leaf images, staff can diagnose and treat diseases earlier, ensuring that plants remain healthy and attractive to customers.

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{ plantvilage-poly_dataset,
    title = { PlantVilage Poly Dataset },
    type = { Open Source Dataset },
    author = { Jinyoon Kim },
    howpublished = { \url{ https://universe.roboflow.com/jinyoon-kim-m2vhr/plantvilage-poly } },
    url = { https://universe.roboflow.com/jinyoon-kim-m2vhr/plantvilage-poly },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-12-11 },
}