PAXCOUNT1.1 Object Detection Dataset and Pre-Trained Model by Headcount

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Explore Dataset

Here are a few use cases for this project:

Airport Crowd Management: PAXCOUNT1.1 can be used in airports to monitor and analyze passenger count categories and their belongings, enabling better crowd control, security, and resource allocation during peak times.
Retail Store Analytics: The model can help retail store managers to understand the demographics of shoppers entering their stores, along with information on accompanying items. This information can optimize store layouts, marketing strategies, and improve customer experience.
Public Transportation Planning: PAXCOUNT1.1 can be helpful for public transportation authorities to identify the passenger count across different age groups and genders, along with their luggage and mobility aids, to optimize transportation schedules and infrastructure accordingly.
Event Management: The model can be used for event planners to analyze and estimate the number of attendees across various demographic groups, and their expected items, to optimize seating arrangements, accessibility, and safety measures during events.
Public Spaces and Facilities Monitoring: PAXCOUNT1.1 can be utilized to monitor the usage of public spaces and facilities, such as parks, museums, and recreational areas, by identifying the different categories of visitors and their belongings, aiding in better facility management, maintenance, and safety.

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{
                            paxcount1.1_dataset,
                            title = { PAXCOUNT1.1 Dataset },
                            type = { Open Source Dataset },
                            author = { Headcount },
                            howpublished = { \url{ https://universe.roboflow.com/headcount/paxcount1.1 } },
                            url = { https://universe.roboflow.com/headcount/paxcount1.1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-05-04 },
                            }