ft-stewart_silhouettes Object Detection Dataset and Pre-Trained Model by Phoenix Defense

Images

378 images

Explore Dataset

Here are a few use cases for this project:

Military Training Simulations: This model could be used in virtual reality or game-based training exercises for military personnel. By being able to identify different military armored vehicles, soldiers could practice target identification and decision-making situations in a safe environment.
Security Surveillance: The model could be implemented in surveillance systems around military bases or sensitive areas to alert security teams to unauthorized or enemy vehicles approaching.
Image Analysis Tool in Defense Research: Defense researchers can use "ft-stewart_silhouettes" model for studying and analyzing strategies in warfare and defense. This could include studying patterns of armored vehicle movement, identifying potential areas of weaknesses in formations, and more.
Maintenance and Repair: The model could be used in an image recognition tool for military vehicle technicians to identify different vehicle types while performing maintenance or repairs, ensuring they are working on the correct vehicle based on external characteristics.
Augmented Reality Apps for Education: AR apps can utilize this model to help military students or history buffs identify and learn about different military armored vehicles. By pointing their device at a vehicle, the app could recognize and provide information about the vehicle's history and use cases.

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{
                            ft-stewart_silhouettes_dataset,
                            title = { ft-stewart_silhouettes Dataset },
                            type = { Open Source Dataset },
                            author = { Phoenix Defense },
                            howpublished = { \url{ https://universe.roboflow.com/phoenix-defense/ft-stewart_silhouettes } },
                            url = { https://universe.roboflow.com/phoenix-defense/ft-stewart_silhouettes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-20 },
                            }