bib detection big data Object Detection Dataset and Pre-Trained Model by HCMUS

Images

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Explore Dataset

Here are a few use cases for this project:

Marathon Management: This model can be used in analyzing photos or videos from marathons or races. By recognizing bibs and participants, it can automate the task of identifying participants, ranking them, and detecting any possible issues like race fraud.
Retail and Fashion Industry: The ability to accurately identify clothing items such as shirts, hats, and shoes can assist in creating AI-driven fashion apps. Users could use these apps to find similar items for purchase, or even virtually try on items.
Sport Event Analytics: This model can be implemented in video analysis systems to distinguish between different roles in sports events. For example, it could recognize a referee by their specific bib, helping to automate the process of gathering game statistics.
Surveillance Systems: The detection of specific items such as clothing, hats, bibs, and shoes can improve the information obtained from security camera footage. It can be used for crowd control, identification of individuals, or anomaly detection in video surveillance.
Content Categorising in Social Media Platforms: This AI can be used by social media platforms for content categorizing and ad targeting. For example, recognizing a person's clothing and accessories in their photos can give indicators about their fashion preferences, leading to more personalized advertising.

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{
                            bib-detection-big-data_dataset,
                            title = { bib detection big data Dataset },
                            type = { Open Source Dataset },
                            author = { HCMUS },
                            howpublished = { \url{ https://universe.roboflow.com/hcmus-3p8wh/bib-detection-big-data } },
                            url = { https://universe.roboflow.com/hcmus-3p8wh/bib-detection-big-data },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-15 },
                            }