batch_2 Computer Vision Project
Here are a few use cases for this project:
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Smart Parking Management: Utilize the "batch_2" model to streamline parking lot allocation by identifying valid, invalid, and reserved spots, and guiding drivers to available parking spaces in real-time.
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Parking Enforcement: Assist law enforcement and parking attendants in detecting parking violations by identifying vehicles parked in invalid spots (such as yellow or red curbs, fire hydrants, and entrances) or in reserved handicapped spaces without appropriate permits.
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Urban Planning and Development: Facilitate analysis of existing parking infrastructure by recognizing the distribution of parking spot types and identifying areas with overflow parking or high demand for specific parking types, such as handicapped spots.
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Accessibility Improvement: Identify areas that lack sufficient accessible parking spaces for disabled individuals, and provide data-driven recommendations to city planners for the addition of more reserved handicapped spots.
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Navigation and Map Applications: Integrate the "batch_2" model into mapping applications to provide users with real-time information on available parking spaces and restrictions, helping them quickly find suitable parking in urban areas.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
batch_2-svzhq_dataset,
title = { batch_2 Dataset },
type = { Open Source Dataset },
author = { anntotators group one },
howpublished = { \url{ https://universe.roboflow.com/anntotators-group-one/batch_2-svzhq } },
url = { https://universe.roboflow.com/anntotators-group-one/batch_2-svzhq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-05-10 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the batch_2 project in your project.
Source
Last Updated
2 years ago
Project Type
Object Detection
Subject
parkingSpots
Views: 3
Downloads: 0
