Parking Spot Detection - Overhead Computer Vision Project
Parking Spot Detection
Updated a year ago
832
30
Tags
Classes (5)
Obstructed Parking
Occupied-Parking-Spaces
Open-Parking-Spaces
Parking Sign
Restricted Parking
Description
Here are a few use cases for this project:
Use Case 1: Smart Parking Guidance System
- Utilize the "Parking Spot Detection - Overhead" computer vision model to develop a smart parking guidance system in parking lots, garages, or on-street parking, helping drivers easily find available parking spaces and avoid restricted or obstructed areas.
Use Case 2: Traffic Management and Enforcement
- Integrate the model with surveillance cameras to assist traffic management authorities in monitoring parking violations, such as illegal parking in restricted or obstructed zones, and enforce parking rules more effectively.
Use Case 3: Urban Planning and Development
- Use the model to analyze parking occupancy and utilization data collected over time. This information can help city planners identify areas with high or low parking demand, guiding decisions related to parking infrastructure improvements and new developments.
Use Case 4: Real-Time Parking Availability Alerts
- Integrate the model into parking reservation mobile apps or navigation systems to provide real-time information on parking spot availability at specific locations or nearby options, saving drivers time and reducing traffic congestion caused by searching for spaces.
Use Case 5: Dynamic Pricing for Parking Spaces
- Apply the model to implement dynamic pricing strategies in paid parking locations. By continuously monitoring parking space occupancy, the system can automatically adjust parking rates based on demand, encouraging more efficient usage of the available spaces.
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Cite This Project
LICENSE
Public Domain If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
parking-spot-detection---overhead_dataset,
title = { Parking Spot Detection - Overhead Dataset },
type = { Open Source Dataset },
author = { Parking Spot Detection },
howpublished = { \url{ https://universe.roboflow.com/parking-spot-detection/parking-spot-detection---overhead } },
url = { https://universe.roboflow.com/parking-spot-detection/parking-spot-detection---overhead },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}