DuaLuoi Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Agricultural Sorting Applications: The "DuaLuoi" model can be implemented in smart farming technology to automatically sort and classify different types of melons during harvesting. This could improve efficiency in farms and reduce human errors.
-
Grocery Store Automation: Supermarkets can use this technology to automate the process of sorting inventory or aid in creating an automated checkout process by identifying different types of vegetables.
-
Food Delivery/Supply Chain Management: "DuaLuoi" could be used within supply chain systems to identify and track different types of melons in storage and during shipment, improving overall supply chain efficiency.
-
Educational Tools: In educational apps or augmented reality experiences designed to teach kids and adults about different vegetables, this models could be utilized for interactive learning experiences.
-
Plant Identification Apps: Developers can use this model in applications that help gardeners or farmers identify the types of melons they are growing, aiding in planting and maintenance decisions.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dualuoi-4rgd4_dataset,
title = { DuaLuoi Dataset },
type = { Open Source Dataset },
author = { SGU Nam Hoang },
howpublished = { \url{ https://universe.roboflow.com/sgu-nam-hoang/dualuoi-4rgd4 } },
url = { https://universe.roboflow.com/sgu-nam-hoang/dualuoi-4rgd4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-11-25 },
}