a1a2a3b1b2b3 Computer Vision Project

eva

Updated a year ago

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Classes (6)
A1
A2
A3
B1
B2
B3
Description

Here are a few use cases for this project:

  1. Urban and Infrastructure Analysis: The model can be utilized in comprehending the types of signs used in an urban setting which can provide insights about infrastructural standards, city development, and urban design trends.

  2. Autonomous Vehicles: It can be utilized in self-driving car technologies to interpret signs on, or around the road, assisting in navigation and improving safety measures by recognizing and understanding represented commands.

  3. Asset Management in Real Estate: This model can be used by real estate companies to catalog and manage their property assets based on signage. Recognizing distinct sign classes enhances the organization, search, and data analytics process of property listings.

  4. Augmented Reality Navigation: Developers of AR applications, particularly navigation apps, can utilize the model to identify and interpret signs in live video feeds, providing contextual information or guidance to users.

  5. Municipal Services: Local government services may use this model to inventory and monitor the condition of public signs, helping schedule maintenance or replacement when necessary.

Supervision

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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{
                            a1a2a3b1b2b3_dataset,
                            title = { a1a2a3b1b2b3 Dataset },
                            type = { Open Source Dataset },
                            author = { eva },
                            howpublished = { \url{ https://universe.roboflow.com/eva/a1a2a3b1b2b3 } },
                            url = { https://universe.roboflow.com/eva/a1a2a3b1b2b3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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