parking_lots Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
-
Smart City Planning: Urban planners and infrastructure teams could use this model to study parking patterns, identify frequently occupied areas, and determine if further parking accommodations are necessary.
-
Traffic Management: Traffic control authorities can utilize the model to monitor and manage the availability of parking spaces in real-time, improving traffic flow and reducing congestion in busy areas.
-
Retail Insights: Retail businesses can use this model to analyze customer behavior, like peak parking times, which could help in planning operating hours, staff scheduling and promotional events.
-
Security Surveillance: Security companies could use the "parking_lots" model as a part of their surveillance system to detect unusual activities like overcrowded areas, suspicious vehicle movement or identifying parking violations.
-
Autonomous Vehicle Services: Companies developing self-driving cars could use this model to train their cars to identify and navigate parking lots, contributing to safer and more efficient autonomous driving systems.
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{
parking_lots-hzybg_dataset,
title = { parking_lots Dataset },
type = { Open Source Dataset },
author = { rodrigodealmeida00@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/rodrigodealmeida00-gmail-com/parking_lots-hzybg } },
url = { https://universe.roboflow.com/rodrigodealmeida00-gmail-com/parking_lots-hzybg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-21 },
}