Pasadas FE Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
-
Traffic Management System: 'Pasadas FE' can be used to improve traffic control and management by identifying the types of vehicles on the road. This information can help in designing traffic rules and optimizing traffic signals according to the types and volume of vehicles.
-
Surveillance and Security: It can be used in security cameras and surveillance systems for real-time tracking of the types of vehicles moving in specific areas. For instance, it could alert officials in restricted areas where certain types of vehicles are not allowed.
-
Automotive Industry Research: Researchers and manufacturers in the automotive sector can use the model to analyze the popularity and usage of certain types of vehicles in certain areas, which may inform future product development or strategies.
-
Smart Parking Solutions: The model can find use in advanced parking systems, where it can categorize parked vehicles, optimize parking space allocation, or assist in locating unauthorized parked vehicles.
-
Transportation and Logistics: Logistics companies can implement 'Pasadas FE' to monitor and manage their vehicle fleet automatically, enhancing operational efficiency by tracking vehicle types and their use.
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{
pasadas-fe_dataset,
title = { Pasadas FE Dataset },
type = { Open Source Dataset },
author = { unq },
howpublished = { \url{ https://universe.roboflow.com/unq/pasadas-fe } },
url = { https://universe.roboflow.com/unq/pasadas-fe },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-24 },
}