router detection Object Detection Dataset and Pre-Trained Model by router

Images

919 images

Explore Dataset

Here are a few use cases for this project:

Network Troubleshooting: The "router detection" model can be used by technicians and network administrators to quickly identify issues in network connectivity by recognizing the types of cables and their connections, helping them diagnose and resolve problems more efficiently.
Inventory Management: Companies that provide networking equipment can utilize this computer vision model to track their inventory, be it cables or routers, and streamline the process of restocking and maintaining their supplies, which in turn can improve their efficiency and reduce costs.
Smart Home Integration: The model can be integrated into smart home systems to automatically detect and categorize networking devices and cables, enabling users to monitor their home network's health and be informed of any necessary upgrades or maintenance.
Education & Training: Educational institutions and training programs in networking and IT fields can use the "router detection" model as a teaching aid, allowing students to better understand the different types of networking components and their connections, enabling them to acquire practical knowledge faster.
Assisting Visually Impaired Users: Incorporating the "router detection" model into accessible technologies can aid visually impaired users in setting up and maintaining their home networks by providing audio cues or descriptions of detected devices and cables, thus fostering their independence in managing their own network.

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.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            router-detection_dataset,
                            title = { router detection Dataset },
                            type = { Open Source Dataset },
                            author = { router },
                            howpublished = { \url{ https://universe.roboflow.com/router/router-detection } },
                            url = { https://universe.roboflow.com/router/router-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }