People with arms Object Detection Dataset and Pre-Trained Model by Arms

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Here are a few use cases for this project:

Security Surveillance: This model could be used in video surveillance systems to detect unusual or potentially threatening gestures, such as someone carrying a gun. Real-time alerts could be sent to security staff, triggering a rapid response.
Content Moderation: Social media platforms or other user content sharing platforms could use this model to automatize the process of content filtering, identifying potential violent or harmful imagery that involves people with guns, ensuring a safe digital environment for users.
Video Game Development: It could be used to enhance realism in video games or simulations by identifying characters in different scenarios or postures, for example, distinguishing between armed and unarmed characters.
Forensic Investigations: Law enforcement agencies could use this model to identify persons of interest in video evidence, especially focusing on distinguishing armed individuals in crime-related scenarios.
Traffic Control Systems: This model might be used in traffic monitoring to detect and report possible violations or threats, such as cases where someone displays a firearm in a vehicle or public place. A real-time alert system could be built upon this that informs the local law enforcement agencies.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            people-with-arms_dataset,
                            title = { People with arms Dataset },
                            type = { Open Source Dataset },
                            author = { Arms },
                            howpublished = { \url{ https://universe.roboflow.com/arms-l4rlk/people-with-arms } },
                            url = { https://universe.roboflow.com/arms-l4rlk/people-with-arms },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-28 },
                            }