Terrace Single Object Detection Dataset and Pre-Trained Model by Single camera

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Explore Dataset

Here are a few use cases for this project:

Pandemic Regulation Compliance Observer: The model can be used by city officials or businesses to ensure compliance with social distancing rules in outdoor public areas such as parks, city squares, or even in outdoor dining areas of cafes and restaurants.
Study of Social Distancing Trends: Researchers studying the impact and compliance of social distancing measures can use this model to analyze trends and patterns over time.
Security System Enhancement: The model can be integrated into home security systems to alert homeowners when social distancing norms are being violated on their property, for instance during a time of limited social gatherings.
Event Management: Event coordinators could employ "Terrace Single" to monitor the crowd on outdoor venues or terraces during concerts or sports events to ensure the social distancing norms are followed.
Public Service Announcement Creation: Media houses can use outputs from this model to create public service announcements or awareness campaigns about the importance of maintaining social distancing in outdoor settings.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            terrace-single_dataset,
                            title = { Terrace Single Dataset },
                            type = { Open Source Dataset },
                            author = { Single camera },
                            howpublished = { \url{ https://universe.roboflow.com/single-camera/terrace-single } },
                            url = { https://universe.roboflow.com/single-camera/terrace-single },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-19 },
                            }