bib detection big data Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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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.
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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.
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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.
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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.
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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.
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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 2024-11-21 },
}