lee_3000 Computer Vision Project

Lee

Updated 2 years ago

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Classes (13)
armored_car
battery bridge
gun_barrel
obstacle
passerby
power_tower
road
shelter_car
soldier
tank tent
tv_tower

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Description

Here are a few use cases for this project:

  1. Military Training and Simulation: The model can be used in creating virtual reality or video-based simulations for military training. It will help soldiers to learn to identify different types of military hardware and infrastructure in real-world or simulated images.

  2. Security Surveillance and Threat Detection: The model can be useful in analyzing surveillance footage or drone imagery for potential threats or activities in conflict zones. It can identify specific classes like tanks, soldiers, or armoured vehicles which might indicate potential hostile action.

  3. Video Game Development: The model can be beneficial in creating detailed and accurate landscape for war-based video games where it can provide real-time identification of in-game entities like tanks, soldiers, and more.

  4. Automated News Reporting: Media companies can use the model to analyze images or videos and automatically create reports or articles about war zones or conflict areas, assisting in identifying specific military equipment or structures.

  5. Research and Analysis: Defense analysts and researchers could use the model to study images or footages from different sources for research purposes, recording the presence of specific military assets and personnel.

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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{
                            lee_3000_dataset,
                            title = { lee_3000 Dataset },
                            type = { Open Source Dataset },
                            author = { Lee },
                            howpublished = { \url{ https://universe.roboflow.com/lee-wacqn/lee_3000 } },
                            url = { https://universe.roboflow.com/lee-wacqn/lee_3000 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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