Roboflow 100

leaf disease

Object Detection


leaf disease Computer Vision Project

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Explore Dataset

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:

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:

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.


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:

                            title = { leaf disease Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow 100 },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-02-21 },

Connect Your Model With Program Logic

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


Roboflow 100

Last Updated

9 months ago

Project Type

Object Detection




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