adidas labels1 Object Detection Dataset and Pre-Trained Model by ASU

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Explore Dataset

Here are a few use cases for this project:

Sports Teams and Equipment Management: This model can be used in identifying which sportswear teams or athletes are using, giving insights into preferences and trends. This could be particularly useful for equipment managers, brand marketers, sports teams, or broadcasters.
Counterfeit Product Detection: The model can be used in e-commerce platforms or retail stores to detect counterfeit sportswear and ensure that only genuine Adidas products with the correct logo are being sold.
Brand Presence Analysis in Sports Events: Media companies or sports analysts can use this model to analyse brand exposure in sports events by identifying every time the Adidas Performance logo appears.
Digitized Inventory and Warehouse Management: Retail companies can use this model to track the presence and quantity of Adidas Performance logo products in warehouse inventories, streamlining warehouse operations.
Consumer Behavior Studies: By identifying the Adidas Performance logo in social media pictures, market researchers can gain insights into consumer behavior, preferences, and trends related to sports apparel.

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{
                            adidas-labels1_dataset,
                            title = { adidas labels1 Dataset },
                            type = { Open Source Dataset },
                            author = { ASU },
                            howpublished = { \url{ https://universe.roboflow.com/asu-amo5t/adidas-labels1 } },
                            url = { https://universe.roboflow.com/asu-amo5t/adidas-labels1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-27 },
                            }