avtobus_qoqon Computer Vision Project
Updated 2 years ago
2
views0
downloadsHere are a few use cases for this project:
-
Autonomous vehicle navigation: This model will be useful to enable self-driving cars to understand and obey traffic rules by recognizing various traffic signs and signals.
-
Road signage audit: Agencies responsible for road maintenance could use this model to inspect the signage along their roads, ensuring that all signs are properly placed and visible.
-
Augmented Reality Navigation Applications: This model could be integrated into AR applications to provide real-time translation or explanation of foreign traffic signs to tourists or new drivers in the region.
-
Driver Assistance system: The system can warn the drivers of upcoming signs or road conditions, improving road safety.
-
Traffic Management and control: Local municipalities and traffic control authorities can use this model to analyze and control traffic flow based on the identification of key signs like stop, finish, speeds, etc.
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{
avtobus_qoqon_dataset,
title = { avtobus_qoqon Dataset },
type = { Open Source Dataset },
author = { yolosignrec },
howpublished = { \url{ https://universe.roboflow.com/yolosignrec/avtobus_qoqon } },
url = { https://universe.roboflow.com/yolosignrec/avtobus_qoqon },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-21 },
}