Human detection Object Detection Dataset and Pre-Trained Model by Duong

Images

2054 images

Explore Dataset

Here are a few use cases for this project:

Public Surveillance: This computer vision model could significantly enhance public security measures by allowing real-time detection and classification of persons in public areas such as parks, airports, and metro stations, potentially helping to track lost children, identify suspicious activity, or assist in suspect identification in crime incidents.
Age-Gender-based Advertising: The model could be used in digital billboards or online advertising systems to identify the age and gender of persons viewable by the camera, then adapt the advertisement displayed to better suit the demographic.
Assistive Technology for Visually Impaired: "Human detection" computer vision model could enhance assistive devices for visually impaired people, enabling them to understand their surroundings better. For instance, the model can identify and relay information about the age and gender of approaching individuals.
Retail Analytics: Retail stores and shopping malls could use the model to gather demographic data about shoppers, helping them better understand their customer base, plan product placement, and develop targeted marketing strategies.
User Experience Customization: Interactive exhibits or applications, such as museum installations or games, could use the model to adapt the experience based on the user's age and gender, aiming to deliver a more engaging and personalized experience.

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{
                            human-detection-iy82e_dataset,
                            title = { Human detection Dataset },
                            type = { Open Source Dataset },
                            author = { Duong },
                            howpublished = { \url{ https://universe.roboflow.com/duong-zwbdq/human-detection-iy82e } },
                            url = { https://universe.roboflow.com/duong-zwbdq/human-detection-iy82e },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-03 },
                            }