Automated Quality Assessment of Mangosteen Fruits Using Multimodal Deep Learning

Object Detection

Automated Quality Assessment of Mangosteen Fruits Using Multimodal Deep Learning Computer Vision Project

reva university

Updated a year ago

79

views

6

downloads
Classes (8)
Dum
Green
Stage-1
Stage-2
Stage-4
Stage-5
Stage-6
Suk

Metrics

Try This Model
Drop an image or

A description for this project has not been published yet.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

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{
                            automated-quality-assessment-of-mangosteen-fruits-using-multimodal-deep-learning_dataset,
                            title = { Automated Quality Assessment of Mangosteen Fruits Using Multimodal Deep Learning Dataset },
                            type = { Open Source Dataset },
                            author = { reva university },
                            howpublished = { \url{ https://universe.roboflow.com/reva-university-kvmt0/automated-quality-assessment-of-mangosteen-fruits-using-multimodal-deep-learning } },
                            url = { https://universe.roboflow.com/reva-university-kvmt0/automated-quality-assessment-of-mangosteen-fruits-using-multimodal-deep-learning },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-27 },
                            }