LA London

LA-LDN

Object Detection

LA-LDN Computer Vision Project

Images

9777 images
Explore Dataset

Here are a few use cases for this project:

  1. Brand Analysis: Marketing teams can use LA-LDN to analyze the presence and visibility of specific brands in public spaces, events, or social media posts. This information can help businesses understand the success of advertising campaigns, consumer trends, and brand recognition.

  2. Counterfeit Detection: Retailers, designers, and manufacturers can use LA-LDN to detect counterfeit products by identifying inconsistencies or discrepancies in logos on clothing, accessories, and other items. Reducing counterfeits can help protect brand integrity and customer experience.

  3. Sponsorship Measurement: Companies and event organizers can use LA-LDN to measure the impact of sponsorship deals by analyzing the visibility and frequency of sponsored logos in event photos, videos, or online media coverage. This can help them evaluate the return on investment for sponsorships and make data-driven decisions for future partnerships.

  4. Customer Behavior Insights: By analyzing customer-generated content (such as social media posts), businesses can gain insights into customer behavior and preferences, such as favorite brands, brand associations, and purchase motivations. This information can guide marketing strategies and product development.

  5. Logo Redesign Evaluation: Companies planning to update or redesign their logo can use LA-LDN to compare the performance of the updated logo against the old one in terms of visibility and recognition in real-world scenarios, like in-store displays, billboards, or website traffic. This can help them determine the effectiveness of the redesign and gather feedback for further refinements.

Cite This Project

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

@misc{
                            la-ldn_dataset,
                            title = { LA-LDN Dataset },
                            type = { Open Source Dataset },
                            author = { LA  London },
                            howpublished = { \url{ https://universe.roboflow.com/la-london/la-ldn } },
                            url = { https://universe.roboflow.com/la-london/la-ldn },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-03-02 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the LA-LDN project in your project.

Source

LA London

Last Updated

2 years ago

Project Type

Object Detection

Subject

logos

Classes

Adidas Apple Inc- Chanel Coca-Cola Emirates Hard Rock Cafe Intimissimi Mercedes-Benz NFL Nike Pepsi Puma Ralph Lauren Corporation Starbucks The North Face Toyota Under Armour

Views: 85

Views in previous 30 days: 38

Downloads: 2

Downloads in previous 30 days: 1

License

CC BY 4.0