pose Computer Vision Project

abm

Updated a year ago

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Classes (1)
violence
Description

Here are a few use cases for this project:

  1. Security Surveillance - The Pose model can be used in CCTV surveillance systems to detect any potential violent scenes or behavior among people. It could be deployed in places like bars, clubs, stadiums, or even public streets.

  2. Anti-Bullying Campaigns in Schools - Schools could use the model to monitor the behavior of students for signs of bullying or violence. It could help to timely detect and prevent such incidents.

  3. Sports Training - In sports like boxing, wrestling, or martial arts, this AI model could help analyze the combatants' techniques and identify if they are exhibiting potentially harmful or violent behaviors that contradict the sporting rules.

  4. Video Moderation - For platforms that allow user-generated contents, especially videos, Pose could be used to automatically flag or filter out content that appears to show acts of violence, helping to maintain a safe and respectful platform environment.

  5. Employee Safety Training - Companies could use this model in workplace safety training simulations to ensure employees learn to recognize potentially violent or aggressive motions.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            pose-qq42u_dataset,
                            title = { pose Dataset },
                            type = { Open Source Dataset },
                            author = { abm },
                            howpublished = { \url{ https://universe.roboflow.com/abm/pose-qq42u } },
                            url = { https://universe.roboflow.com/abm/pose-qq42u },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-12-03 },
                            }