LOGOS Computer Vision Project

az

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Classes (13)
amal
future
hizbullah
ishtiraky
kataeb
mamfid
marada1
marada2
quwwat
quwwat_cross
sabaa
syrian_national
tayyar
Description

Here are a few use cases for this project:

  1. Logo Recognition in Media Monitoring: The LOGOS model could be used by companies specializing in media and content analysis to track the appearance of specified logos in various forms of media. This would provide insight on the frequency and context in which these logos are presented. For instance, a media research company can track the appearance of the 'hizbullah' logo across different TV programs and online platforms.

  2. Brand Affiliation and Sponsorship Analysis: Firms could deploy the model to analyze brands' affiliation and sponsorship strategies. By identifying logos in images and videos, companies can comprehend how frequently certain brands sponsor events or appear in association with different entities.

  3. Social Media Sentiment Analysis: The model could be used in sentiment analysis on social media platforms, identifying the logos in images shared by users and interpreting their sentiments towards these symbols and the represented entities.

  4. Counter-terrorism and Security: On the more serious side, law enforcement agencies and security firms could use the LOGOS model to identify logos associated with potentially harmful organizations. If pictures of these logos surface in questionable contexts, it could serve as an early warning sign for malicious activities.

  5. Academic Research: Researchers looking into political affiliations and identity may use the LOGOS model to identify and analyze these specific logos in various contexts. This can help to understand the deployment of these logos in political campaigns, protests or other socio-political events.

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{
                            logos-zpdkz_dataset,
                            title = { LOGOS Dataset },
                            type = { Open Source Dataset },
                            author = { az },
                            howpublished = { \url{ https://universe.roboflow.com/az/logos-zpdkz } },
                            url = { https://universe.roboflow.com/az/logos-zpdkz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { oct },
                            note = { visited on 2024-11-28 },
                            }
                        
                    

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