leaf disease Computer Vision Project
This dataset was originally created by 윤태원 (yuntaewon), 황혜윤 (hwanghyeyun), 김민서 (gimminseo), 김노현 (gimnohyeon) , 신다홍 (sindahong), 김성수 (gimseongsu). To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/puri/puri4-ygapu.
This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.
Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark
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.
YOLOv5
This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
leaf-disease-nsdsr_dataset,
title = { leaf disease Dataset },
type = { Open Source Dataset },
author = { Roboflow 100 },
howpublished = { \url{ https://universe.roboflow.com/roboflow-100/leaf-disease-nsdsr } },
url = { https://universe.roboflow.com/roboflow-100/leaf-disease-nsdsr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-04-25 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the leaf disease project in your project.