annotate5 Computer Vision Project
Updated a year ago
0
views0
downloadsMetrics
Here are a few use cases for this project:
-
Pedestrian Traffic Management: "annotate5" can be used to monitor and analyze pedestrian traffic flow in urban areas or public places like shopping malls, parks, or airports. The collected data could inform decisions about infrastructure planning and upgrades.
-
Personal Security Applications: This model can assist in the development of personal safety apps that alert users to the presence of nearby pedestrians, potentially preventing collisions or accidents.
-
Autonomous Vehicles: It can be used to train autonomous vehicles to identify pedestrians to ensure safer driving and prevent accidents.
-
Smart City Applications: The "annotate5" model can become an integral part of smart city planning, helping to optimize pedestrian pathways or identify crowded areas and bottlenecks.
-
Health and Social Studies: The model can also be used in studies related to public health or sociology, such as examining physical activity levels in different neighborhoods or understanding patterns of social interaction in public spaces.
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{
annotate5_dataset,
title = { annotate5 Dataset },
type = { Open Source Dataset },
author = { Nandhini Elangovan },
howpublished = { \url{ https://universe.roboflow.com/nandhini-elangovan-cx4s3/annotate5 } },
url = { https://universe.roboflow.com/nandhini-elangovan-cx4s3/annotate5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-22 },
}