detect-apart-of- tank Object Detection Dataset and Pre-Trained Model by Quc t Trn

Images

2531 images

Explore Dataset

Here are a few use cases for this project:

Military Training and Simulation: The "detect-a-part-of-tank" model can be utilized in interactive military training simulators. It could be used to teach recruits about the different components of a tank, such as the QDT, banh_xe, and Phao_chinh, and how to identify them.
Battlefield Awareness: In a live battle situation, it could be used for accurate identification of hostile tanks, their parts, and capabilities. This could improve strategic planning, as knowing the type of tank and its parts can provide insights into its potential strengths and weaknesses.
Surveillance and Reconnaissance: The model can be employed in drones or other unmanned surveillance equipment to automatically identify tanks' parts from captured video or images. This can aid in intelligence gathering and early threat detection.
Equipment Maintenance: Maintenance crews can use the model to identify and assess the state of tank parts. It could help recognize damages or malfunctions in parts like the Thap_phao, Than_xe, or Antenna, aiding in preventive maintenance and timely repairs.
Video Games and Virtual Reality: In military-themed video games or VR systems, the model can bring extra realism by accurately representing different parts of a tank. It can enable players to identify and interact with these parts, and even simulate repairs or modifications.

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{
                            detect-apart-of-tank_dataset,
                            title = { detect-apart-of- tank Dataset },
                            type = { Open Source Dataset },
                            author = { Quc t Trn },
                            howpublished = { \url{ https://universe.roboflow.com/quc-t-trn/detect-apart-of-tank } },
                            url = { https://universe.roboflow.com/quc-t-trn/detect-apart-of-tank },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }