Weapon Detection Object Detection Dataset and Pre-Trained Model by RHackathon

Images

2827 images

Explore Dataset

Here are a few use cases for this project:

Public Safety and Surveillance: The model can be used as an automated tool to identify weapons in surveillance footage in real-time, potentially alerting authorities immediately of suspicious or potentially harmful activities in public areas or crowded events.
Airport Security: It can enhance security screenings by helping identify dangerous weapons in passenger carry-on or checked luggage during airport security checks.
E-commerce Monitoring: The model could be used by online marketplaces to detect and block listings that contain images of prohibited weapons, ensuring safer transactions and adherence to platform guidelines.
Content Moderation on Social Media: Social media platforms can deploy such a system to automatically flag and remove content that includes images of weapons, thus maintaining a safe and appropriate environment for users.
Training and Simulation: It could be beneficial in military or police force training programs, simulating real-world scenarios where weapon identification in various environments and situations is critical.

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{
                            weapon-detection-aoxpz_dataset,
                            title = { Weapon Detection Dataset },
                            type = { Open Source Dataset },
                            author = { RHackathon },
                            howpublished = { \url{ https://universe.roboflow.com/rhackathon/weapon-detection-aoxpz } },
                            url = { https://universe.roboflow.com/rhackathon/weapon-detection-aoxpz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }