Name: Fscam V2 Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

4269 images

Explore Dataset

Here are a few use cases for this project:

Brand Monitoring: The Fscam V2 model could be used to track and analyze brand presence on social media platforms or in user-generated content by identifying instances of the brand's logo.
Counterfeit Product Detection: By recognizing and identifying logos of well-known brands, Fscam V2 can help in detecting and flagging potential counterfeit products for e-commerce platforms and online marketplaces.
Digital Asset Management: Fscam V2 can be employed in digital asset management systems to automatically tag and index images containing specific logos, helping users to more easily organize, search, and locate relevant visual assets in large image databases.
Augmented Reality (AR) Advertising: Fscam V2 can be integrated into AR applications to recognize company logos in real-time, allowing interactive and personalized advertising, sponsored content, or additional information to be displayed to users when pointing their devices at identified logos.
Content Curation and Recommendation: By identifying logo classes in images, Fscam V2 can be used to enhance content curation and recommendation engines by prioritizing and recommending content that features specific brand logos or interests, making the user experience more tailored and engaging.

Cite This Project

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

@misc{
                            fscam-v2_dataset,
                            title = { Fscam V2 Dataset },
                            type = { Open Source Dataset },
                            author = { eranwork2 },
                            howpublished = { \url{ https://universe.roboflow.com/eranwork2/fscam-v2 } },
                            url = { https://universe.roboflow.com/eranwork2/fscam-v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-05-06 },
                            }