Character_id Object Detection Dataset and Pre-Trained Model by CharacterID

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Explore Dataset

Here are a few use cases for this project:

Sports Game Analysis: "Character_id" could be used in analyzing sports game footage, specifically those sports where players wear helmets and vests in different colors, such as motorsports or a ski competition. The model can differentiate between different teams or individual players based on their distinct helmet and vest colors, helping in tracking players' movements, performance analysis, and defining game strategy.
Construction Site Surveillance: The model could be utilized to monitor adherence to safety regulations at construction sites. It can identify individuals and verify whether they are wearing necessary safety equipment like blue or white helmets or the required color-coded vests.
Crowd Monitoring/Control: During large events or festivals, the model could assist security personnel. By identifying distinct features such as helmet and vest colors, authorities can easily spot emergency personnel, security staff, or specific event participants within a crowd.
Rescue Operations: In complicated rescue operations, the model could help operators in monitoring the number of rescuers (identified by their helmet and vest colors) and victims in a certain area, facilitating improved coordination and efficiency.
Gaming and Simulation: Within video game development or virtual reality simulations, the model could integrate an extra layer of realism by accurately identifying various characters based on their displayed apparel such as helmets and vests. This could bring benefits both in the creation of more immersive gaming experiences or in designing training simulations for real-world applications.

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{ character_id_dataset,
    title = { Character_id Dataset },
    type = { Open Source Dataset },
    author = { CharacterID },
    howpublished = { \url{ https://universe.roboflow.com/characterid/character_id } },
    url = { https://universe.roboflow.com/characterid/character_id },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-12-08 },
}