advertisers detections Computer Vision Project

ahmedkadaoui@hotmail.com

Updated 2 years ago

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Classes (50)
Bmci
Ds
Kitea
LG
acima
ada
adidas
alibaba
ancfcc
attijari
avito
barid bank
bp
carrefour
cih
citroen
cmi
cnss
coca cola
credi am
credit du maroc
danone
dolidol
electroplanet
hespress
huawei
hyundai
inwi
jumia
lbankalik
lesieur
marjane
maroc telecom
mdjs
ocp
oncf
opel orange pepsi
petrom
peugeot
ram
renault
samsung
sony
total
wafa assurance
wafa cash
wafa salaf
xiaomi
Description

Here are a few use cases for this project:

  1. Brand Exposure Analysis: Use the model to analyze how much exposure different brands are getting on social media platforms or digital marketing platforms by automatically detecting and counting logo occurrences in images/videos.

  2. Sponsorship Evaluation: Utilize the model in sporting events or related broadcasts to measure the visibility of sponsored brands logos, providing valuable data for sponsors on their return of investment.

  3. Anti-Counterfeit Measures: Detect potential infringements or counterfeits by identifying unauthorized usage of certain logos on e-commerce websites, social media, and other digital platforms.

  4. Trademark Infringement Detection: Use the model to scan online platforms for potential unauthorized use of logos, protecting companies' brand identity and copyright.

  5. Advertising Strategy Development: Marketers and strategists can use the model to understand the advertising landscape by identifying where and how often competitor logos are appearing, helping them craft more effective marketing plans.

Supervision

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            advertisers-detections_dataset,
                            title = { advertisers detections Dataset },
                            type = { Open Source Dataset },
                            author = { ahmedkadaoui@hotmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/ahmedkadaoui-hotmail-com/advertisers-detections } },
                            url = { https://universe.roboflow.com/ahmedkadaoui-hotmail-com/advertisers-detections },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }