delogo Computer Vision Project

hugo

Updated 3 years ago

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Description

Here are a few use cases for this project:

  1. Advertising Cleanup: This model could be used by advertising or content agencies looking to clean up visuals by removing any competing brands or unnecessary text, ensuring they use images that only highlight the products or services they are promoting.

  2. Television Broadcasts: TV networks could use this model to identify and remove any unsolicited logos or text present in the live feeds or prerecorded content to avoid copyright issues or unwanted product placements.

  3. eCommerce Platforms: Online retailers could use this model to scan and remove logos or text from product images in instances where they sell unbranded or generic versions of products.

  4. Image Restoration: This model could be used by digital artists and graphic designers to restore vintage images, illustrations or photos by efficiently removing any text or logos added over time.

  5. Education Sector: In the education field, this model could help remove any kind of text or logo distractions from images used in digital textbooks or online resources, making it easier for learners to focus on the image content.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            delogo_dataset,
                            title = { delogo Dataset },
                            type = { Open Source Dataset },
                            author = { hugo },
                            howpublished = { \url{ https://universe.roboflow.com/hugo/delogo } },
                            url = { https://universe.roboflow.com/hugo/delogo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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