PersonDection Object Detection Dataset and Pre-Trained Model by SMART2

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: The "PersonDetection" model could be used to analyze individual athletes' performances in various sports such as skateboarding, basketball, or soccer, by detecting and tracking the movements of players.
Surveillance Security: It could be utilized in CCTV systems and security cameras. By recognizing people in real-time, it could alert security personnel when unauthorized individuals are detected in restricted areas.
Social Distancing Detection: In light of the Covid-19 pandemic, this model could be used to enforce social distancing measures by tracking the number of people and their relative distances in public spaces like parks, malls, or transportation systems.
Smart Home Management: It can be deployed in smart homes devices to recognize the home occupants and subsequently adapt the environment to their preferences such as lighting, temperature or even play their favorite music upon entry.
Motion Capture and Gaming: In the gaming and animation industry, this model could be used for real-time motion capture, allowing developers to create more realistic and immersive human characters.

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{
                            persondection-61bc2_dataset,
                            title = { PersonDection Dataset },
                            type = { Open Source Dataset },
                            author = { SMART2 },
                            howpublished = { \url{ https://universe.roboflow.com/smart2/persondection-61bc2 } },
                            url = { https://universe.roboflow.com/smart2/persondection-61bc2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-28 },
                            }