YOLO2Class_Stabbing_Fencing Computer Vision Project

Sym

Updated 2 years ago

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Classes (9)
Aggressor
Blood
Fencing
Hand
Knife_Weapon
Person
Stabbing
Sword
Victim
Description

Here are a few use cases for this project:

  1. Violence Detection - This model could be used in security cameras or livestreams to detect violent activities in public places, potentially aiding quick response and intervention.

  2. Safety in Sports - The model can be utilized in fencing sports to understand the participants' actions better, potentially assisting referees in determinations and aiding in the improvement of safety protocols.

  3. Crime Scene Analysis - Law enforcement could use this application to recreate events leading up to an incident or crime, assisting in evidence collection and analysis.

  4. Video Game Development - Game developers could leverage this model to create more interactive and realistic combat or fencing sequences, enhancing the overall gaming experience.

  5. Content Monitoring - The model could be integrated into video sharing platforms to detect and flag violent content or violations of their content policy, assisting in maintaining a safe digital environment.

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{
                            yolo2class_stabbing_fencing_dataset,
                            title = { YOLO2Class_Stabbing_Fencing Dataset },
                            type = { Open Source Dataset },
                            author = { Sym },
                            howpublished = { \url{ https://universe.roboflow.com/sym-ouszq/yolo2class_stabbing_fencing } },
                            url = { https://universe.roboflow.com/sym-ouszq/yolo2class_stabbing_fencing },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-13 },
                            }
                        
                    

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