Headware detection Computer Vision Project

ATM

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Fashion Trend Analysis: Companies could use this model to analyze images from social media to understand trending headwear styles. If hats are commonly detected, perhaps cap trends are on the rise.

  2. Safety Compliance Checks: In dangerous work environments like construction sites or factories, this model could be used to monitor if workers are appropriately using required safety headwear like helmets.

  3. Cultural and Demographic Studies: Sociologists or anthropologists could use this model for studying the cultural significance and frequency of head-wears like hijab in certain areas or groups, mining data from platforms such as Instagram.

  4. Facilitating Accessibility: The model could serve in creating technology for visually impaired people that describes what the people around them are wearing, enhancing their understanding of their surroundings.

  5. In Public Security and Surveillance: The model could be used in surveillance systems to help identify individuals based on their head-wear, which could aid law enforcement in locating suspects or missing persons.

Supervision

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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{
                            headware-detection_dataset,
                            title = { Headware detection Dataset },
                            type = { Open Source Dataset },
                            author = { ATM },
                            howpublished = { \url{ https://universe.roboflow.com/atm/headware-detection } },
                            url = { https://universe.roboflow.com/atm/headware-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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