Data1 Object Detection Dataset and Pre-Trained Model by ECNU

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Explore Dataset

Here are a few use cases for this project:

Public Health Monitoring: This model can be used for detecting individuals wearing masks in public areas. This information can be used to assess adherence to health guidelines during pandemics or environmental crises (like air pollution).
Security Systems: "Data1" can be incorporated into surveillance systems to recognize faces. These enhanced systems would provide improved ways of identifying individuals in security footage, particularly in crowded areas.
AI-assisted Identification: It can be used in law enforcement, helping in identification processes by isolating facial and nose features from images or live feeds. This could be particularly useful while looking for missing persons or identifying suspects.
Automated Access: The model can be used in building access systems, recognizing employees by their face, even when they're wearing a mask, enhancing security whilst maintaining convenience in high-security environments such as corporate offices or labs.
Retail Analytics: "Data1" can be used in retail to analyze customer behavior (like wearing masks) in line with health regulations. The insight generated can be used by retail managers to improve store layouts for better compliance with these regulations.

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{
                            data1-ddp9v_dataset,
                            title = { Data1 Dataset },
                            type = { Open Source Dataset },
                            author = { ECNU },
                            howpublished = { \url{ https://universe.roboflow.com/ecnu-aavkz/data1-ddp9v } },
                            url = { https://universe.roboflow.com/ecnu-aavkz/data1-ddp9v },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }