OBJECT DETECTION - CLS - 3 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Military Intelligence: Armed forces can use this model to analyze satellite and other aerial surveillance images for identifying and classifying different airborne machines, improving strategic planning and defense mechanisms.
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Air Traffic Control: The system can be integrated with airport or aviation infrastructure to identify potential threats such as unauthorized drones in flight paths or traditional airspace, enhancing safety and security.
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Research and Development: Aircraft manufacturers and defense scientists can use the model to identify the type and nature of airborne objects in test ranges, assisting in data collection, testing, and design of new models.
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Unidentified Flying Object (UFO) Study: Aerospace agencies or astronomers can use it to filter out identifiable objects like aircraft, drones, and missiles in sky imagery, focusing on truly unidentified objects.
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Public Safety: Government agencies can make use of the model for public safety by monitoring illegal or dangerous drone use, for instance, smuggling contraband across borders or drones venturing into restricted areas.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
object-detection-cls-3_dataset,
title = { OBJECT DETECTION - CLS - 3 Dataset },
type = { Open Source Dataset },
author = { W T A },
howpublished = { \url{ https://universe.roboflow.com/w-t-a/object-detection-cls-3 } },
url = { https://universe.roboflow.com/w-t-a/object-detection-cls-3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-31 },
}