Potato Leaves Disease Detection Computer Vision Project
Updated 7 months ago
Metrics
This model utilizes image detection to determine if a potato leaf is diseased or not. The classes that are present in the model are Healthy, Pest, and Fungus. The model is composed of data provided by researchers in Indonesia, where they captured images of potato leaves that exhibit the traits of the previously mentioned classes throughout farms. For best results, have your picture be a clear, up close image of the leaf you are trying to assess. This model was created for a class assignment in AI and Natural History at St. Mary’s College of Maryland.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
potato-leaves-disease-detection-bsjop_dataset,
title = { Potato Leaves Disease Detection Dataset },
type = { Open Source Dataset },
author = { Lauren Draetta },
howpublished = { \url{ https://universe.roboflow.com/lauren-draetta-ltyqb/potato-leaves-disease-detection-bsjop } },
url = { https://universe.roboflow.com/lauren-draetta-ltyqb/potato-leaves-disease-detection-bsjop },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-11-22 },
}