detect-apart-of- tank Computer Vision Project

Quc t Trn

Updated 2 years ago

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Classes (14)
APS
Antenna
CB_detect_laser
CB_khi_tuong
Luu_dan_khoi
Phao_chinh
QDT
Sung_may
Than_xe
Thap_phao
Xe_thiet_giap
banh_xe
person tank

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-11-21 },
                            }
                        
                    

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