toggle Computer Vision Project
Here are a few use cases for this project:
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Brand Monitoring: The "toggle" model can be used by businesses to monitor online platforms for their logo or brand name. This can help them understand how their brand is being used and where it is most visible.
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Content Moderation: Social media platforms can use the "toggle" model to identify copyrighted content or unauthorized use of logos, which can in turn assist efforts to combat fake accounts, fake news, or copyright infringement.
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Ad Detection: Advertising firms or platforms can use the model to identify and categorize different brands in advertisements, increasing the efficiency of ad tracking and analysis.
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Market Research: The model can be implemented in market research to analyze the presence and placement of different brands and logos in various media, helping analysts understand their competitors’ marketing strategies.
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Fraud Detection: For financial institutions like banks and credit card companies, the "toggle" model could be used to identify their logos or text in potentially fraudulent websites or emails, aiding in cybersecurity efforts.
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{
toggle-esetr_dataset,
title = { toggle Dataset },
type = { Open Source Dataset },
author = { toggle },
howpublished = { \url{ https://universe.roboflow.com/toggle/toggle-esetr } },
url = { https://universe.roboflow.com/toggle/toggle-esetr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-07-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the toggle project in your project.
Source
Last Updated
a year ago
Project Type
Object Detection
Subject
tpggg
Views: 137
Downloads: 7
