deepFruits orange Computer Vision Project
Inkyu Sa
Updated 2 years ago
Description
deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques
This page introduces our Orange dataset (Bounding box) imported from deepFruits dataset and used for producing results. if this dataset is helpful for your research or application, please do consider to cite our paper as follow;
@Article{s22134721,
AUTHOR = {Sa, Inkyu and Lim, Jong Yoon and Ahn, Ho Seok and MacDonald, Bruce},
TITLE = {deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques},
JOURNAL = {Sensors},
VOLUME = {22},
YEAR = {2022},
NUMBER = {13},
ARTICLE-NUMBER = {4721},
URL = {https://www.mdpi.com/1424-8220/22/13/4721},
PubMedID = {35808218},
ISSN = {1424-8220},
DOI = {10.3390/s22134721}
}
You can download our published paper from:
https://www.mdpi.com/1424-8220/22/13/4721
Please contact us if you have questions, suggestions, or concerns to enddl22@gmail.com
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
deepfruits-orange_dataset,
title = { deepFruits orange Dataset },
type = { Open Source Dataset },
author = { Inkyu Sa },
howpublished = { \url{ https://universe.roboflow.com/inkyu-sa-e0c78/deepfruits-orange } },
url = { https://universe.roboflow.com/inkyu-sa-e0c78/deepfruits-orange },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-05 },
}