Military Vehicle Recognition Computer Vision Project
Updated a day ago
0
0
Metrics
This dataset contains labeled aerial images of air fighters, bombers, armored personnel carriers, tanks and soldiers captured by reconnaissance drones during the russo-Ukrainian War, aimed at supporting the development of machine learning models for military object detection. The images simulate real-world conditions with diverse altitudes, angles, and lighting, providing a robust foundation for applications in automated surveillance and situational awareness. Ideal for defense and security contexts, this dataset enables precise detection and classification of military objects, aiding in real-time decision-making and enhancing overall reconnaissance capabilities.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
military-vehicle-recognition_dataset,
title = { Military Vehicle Recognition Dataset },
type = { Open Source Dataset },
author = { MilitaryVehicleRecognition },
howpublished = { \url{ https://universe.roboflow.com/militaryvehiclerecognition/military-vehicle-recognition } },
url = { https://universe.roboflow.com/militaryvehiclerecognition/military-vehicle-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-21 },
}