Brand_Logos Object Detection Dataset and Pre-Trained Model by Philip Hawkins

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Explore Dataset

Here are a few use cases for this project:

Brand Impact Studies: Using the model, companies, and researchers can track the exposure of a brand's logo in various visual content (like videos, photos, social media) across the Internet. This can help monitor brand visibility and measure the impact of marketing campaigns.
Copyright Infringement Detection: Companies can use this model to find out if their brand logos are being used without permission or inappropriately in various digital media across the Internet, helping with the enforcement of trademark rights.
Ad Monitoring and Insights: It can be employed by marketing teams and advertisers to analyze the exposure of competing brands in advertising content across multiple media channels, deriving insights about market presence and competitive strategy.
Traffic Analysis for Outdoor Advertising: This computer vision model could be used by outdoor advertising companies or businesses to monitor the frequency of various brand logos appearing in vehicle and pedestrian traffic, giving an indication of brand popularity and viewership metrics.
Customer Behavior Analysis: Retail businesses can apply the model in-store to identify the logos on customer's clothing or accessories. This could offer insights about customer preferences and behaviors, enabling more tailored marketing 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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            brand_logos_dataset,
                            title = { Brand_Logos Dataset },
                            type = { Open Source Dataset },
                            author = { Philip Hawkins },
                            howpublished = { \url{ https://universe.roboflow.com/philip-hawkins-zadu0/brand_logos } },
                            url = { https://universe.roboflow.com/philip-hawkins-zadu0/brand_logos },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-27 },
                            }