appei-dataset Computer Vision Project

1500

Updated a year ago

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Classes (5)
incorrect_mask
no-gloves
no_mask
with_gloves
with_mask

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Description

Here are a few use cases for this project:

  1. Health and Safety Compliance Monitoring: Organizations in healthcare, hospitality, or other sectors where mask usage and gloves are mandatory can use this AI model to ensure employees' compliance with health and safety guidelines.

  2. COVID-19 Precaution Monitoring: With the pandemic making facemasks and gloves a crucial part of personal safety, this model could be integrated into CCTV systems or portable devices to monitor public spaces, helping enforce COVID-19 prevention measures.

  3. Educational Training Tools: It can serve as an educational tool for trainers and educators to demonstrate proper PPE use in high-risk job environments like healthcare or chemical labs.

  4. Manufacturing Units: In manufacturing sector where employees are expected to wear gloves or masks for safety, this model can be employed to identify if employees are following regulations.

  5. Food Industry Compliance: In the food industry, maintaining hygiene standards is key. The model can be used to monitor and ensure that chefs, food handlers and other staff members are wearing their facemasks and gloves correctly as per health guidelines.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            appei-dataset_dataset,
                            title = { appei-dataset Dataset },
                            type = { Open Source Dataset },
                            author = { 1500 },
                            howpublished = { \url{ https://universe.roboflow.com/1500/appei-dataset } },
                            url = { https://universe.roboflow.com/1500/appei-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-05 },
                            }
                        
                    

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