2
Orange Disease Detection Computer Vision Project
TRY THIS MODEL
Drop an image or
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{
orange-disease-detection_dataset,
title = { Orange Disease Detection Dataset },
type = { Open Source Dataset },
author = { Aravind Ellapu },
howpublished = { \url{ https://universe.roboflow.com/aravind-ellapu/orange-disease-detection } },
url = { https://universe.roboflow.com/aravind-ellapu/orange-disease-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-05-03 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Orange Disease Detection project in your project.
Similar Projects
oranges
558 images
orange
80 images
fruits
1164 images
oranges
1164 images
15
1165 images