TARGET PRO Object Detection Dataset and Pre-Trained Model by MAG5 TARGET PRO

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Explore Dataset

Here are a few use cases for this project:

Forensics Analysis: This model can be used by security agencies or forensic experts to analyze crime scenes with gun-related incidents. Identification of bullet holes can assist in trajectory analysis, determining the type of firearm used, as well as reconstructing the sequence of events.
Military Training: "TARGET PRO" can be utilized in military training grounds, to automatically gauge shooting accuracy by identifying and classifying bullet holes on targets during practice sessions. This can lead to improved training methods and tactics.
Ballistics Research: Researchers, working on ballistic and firearm technologies, could use this model to study the impact and penetration patterns of different ammunition types, contributing to the development of safer and more effective firearms.
Ammunition Quality Control: Manufacturers of firearms and ammunitions can employ this model in quality control processes, helping to evaluate the consistency and effectiveness of various ammunition designs by analyzing bullet-hole patterns.
Shooting Range Services: At shooting ranges, the model could provide automated scoring and performance tracking for participants, based on the bullet holes it identifies and classifies on target boards. This could enhance user experience by providing instant and accurate results.

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{
                            target-pro_dataset,
                            title = { TARGET PRO Dataset },
                            type = { Open Source Dataset },
                            author = { MAG5 TARGET PRO },
                            howpublished = { \url{ https://universe.roboflow.com/mag5-target-pro/target-pro } },
                            url = { https://universe.roboflow.com/mag5-target-pro/target-pro },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-28 },
                            }