Logos Computer Vision Project

laudisa2@gmail.com

Updated 3 years ago

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Classes (17)
Adidas
AppleInc
Chanel
CocaCola
Emirates
HardRockCafe
Intimissimi
MercedesBenz
NFL
Nike Pepsi Puma
RalphLaurenCorporation
Starbucks
TheNorthFace
Toyota
UnderArmour
Description

Here are a few use cases for this project:

  1. Brand Exposure Analysis: Companies or marketing agencies can use the "Logos" model to identify the presence of various logos in digital media content such as in social media posts, videos, online images, or TV broadcasts. This will help gauge the visibility and reach of a particular brand.

  2. Counterfeit Detection: The model can be used by companies to scout online marketplaces or e-commerce websites for counterfeit or unlicensed products featuring their brand logos without authorization.

  3. Consumer Behavior Research: Research firms can use the model to analyze photos or real-time footage from consumer research studies or focus groups to understand brand preference and visibility among consumers.

  4. Advertisements effectiveness measurement: Ad agencies can use the model to measure the effectiveness of outdoor advertising campaigns by tracking how often and where logos appear in publicly available visuals like street photos or webcam feeds.

  5. Sports Sponsors Monitoring: Sports leagues or teams can use this model to quantify the exposure of their sponsors' logos during matches or events by processing broadcast footage.

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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-a8als_dataset,
                            title = { Logos Dataset },
                            type = { Open Source Dataset },
                            author = { laudisa2@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/laudisa2-gmail-com/logos-a8als } },
                            url = { https://universe.roboflow.com/laudisa2-gmail-com/logos-a8als },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-11-02 },
                            }