Target Detection Computer Vision Project
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Here are a few use cases for this project:
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Traffic Management System: The model can be used by traffic control systems to identify different types of road signs and markers. The detections can be used to analyze, understand, and control the current traffic situation accurately.
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Advanced Driver Assistance Systems (ADAS): In automobile industries, such a model can help in developing advanced driver assistance systems. Recognizing shapes (triangles, squares, circles) and other unique identifiers on road signs can help guide autonomous vehicles and alert drivers about road conditions.
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Urban Planning and City Infrastructure Analysis: The model could be used by urban planning departments to identify and categorize different types of signage and road markers from aerial or satellite images. This could help in mapping street layouts, determining the location of important signs, or planning future infrastructure changes.
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Drone Navigation: Companies or individuals utilizing drones for delivery services, surveillance, or other use cases can employ this model to understand the space they're navigating. The model can help in identifying any potential hazards or certain navigation points based on the target classes recognized.
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Research and Development: For researchers working on computer vision, this kind of model could provide a useful benchmark for developing and comparing algorithms for shape and symbol detection, given the diversity of target categories.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
target-detection-qlsqk_dataset,
title = { Target Detection Dataset },
type = { Open Source Dataset },
author = { Edhitha2024 },
howpublished = { \url{ https://universe.roboflow.com/edhitha2024/target-detection-qlsqk } },
url = { https://universe.roboflow.com/edhitha2024/target-detection-qlsqk },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-12-19 },
}