posco ai Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Autonomous Vehicle Navigation: The "posco ai" model can be beneficial for autonomous cars to better identify obstacles, sidewalks, and roads, leading to improved route decision-making and enhanced safety measures.
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Urban Planning and Infrastructure Development: City planners can use this model to gather information about the state of sidewalks, roads, and potential obstacles in an area. It can aid in making informed decisions on necessary improvements or modifications.
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Assistive Technology for Visually Impaired: This model could be integrated into applications designed to help visually impaired individuals navigate through city streets by identifying obstacles, sidewalks, and roads.
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Augmented Reality Navigation: The model can play a significant role in AR apps that provide real-time route guidance to pedestrians or cyclists, making it easier to visualize paths, potential hazards, and road conditions.
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Traffic Management System: Active monitoring of roads and sidewalks through this model can identify obstructions or abnormal conditions, enabling a swift response from traffic management authorities.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
posco-ai-vqomn_dataset,
title = { posco ai Dataset },
type = { Open Source Dataset },
author = { Posco BigDataAI },
howpublished = { \url{ https://universe.roboflow.com/posco-bigdataai/posco-ai-vqomn } },
url = { https://universe.roboflow.com/posco-bigdataai/posco-ai-vqomn },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-09-27 },
}