LB FLS Object Detection Dataset and Pre-Trained Model by LabelBlind

Images

127 images

Explore Dataset

Here are a few use cases for this project:

Brand Recognition and Analysis: LB FLS can be used by marketing and brand management professionals to identify brand logos and associated text on different products or images, helping them analyze brand presence and visibility across various platforms.
Copyright Infringement Detection: Companies can employ LB FLS to scan through images on the web or social media to ensure that their copyrighted logos and text content are not being misused or duplicated without permission.
Augmented Reality Applications: Developers can integrate LB FLS into AR apps or tools to provide users with information overlays when pointing their camera at branded products; this could include product specifications, reviews, price comparisons, or other relevant information.
Retail Inventory Management: Retail stores could use LB FLS to streamline their inventory process by simplifying product identification and tracking based on logos and text regions present on packaging or labels.
Content Filtering and Categorization: Content hosting platforms can implement LB FLS to categorize images based on brand association, allowing users to search for content with specific branding (e.g., searching for advertising campaigns or promotional materials featuring a particular company logo).

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{
                            lb-fls_dataset,
                            title = { LB FLS Dataset },
                            type = { Open Source Dataset },
                            author = { LabelBlind },
                            howpublished = { \url{ https://universe.roboflow.com/labelblind/lb-fls } },
                            url = { https://universe.roboflow.com/labelblind/lb-fls },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-07-27 },
                            }