kiwi Computer Vision Project

Inkyu Sa

Updated 2 years ago

483

views

32

downloads
Classes (1)
1
Description

deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques

This page introduces our Kiwi 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

Supervision

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{
                            kiwi-6lool_dataset,
                            title = { kiwi Dataset },
                            type = { Open Source Dataset },
                            author = { Inkyu Sa },
                            howpublished = { \url{ https://universe.roboflow.com/inkyu-sa-e0c78/kiwi-6lool } },
                            url = { https://universe.roboflow.com/inkyu-sa-e0c78/kiwi-6lool },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-12-11 },
                            }
                        
                    

Similar Projects

See More