Koton Cender Detection Computer Vision Project

Ceyda Demirci

Updated 2 years ago

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Classes (4)
man
man_head
woman
woman_head

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Description

Here are a few use cases for this project:

  1. Retail Customer Behavior Analysis: The model can be used to analyze the behavior of customers in retail stores. It can identify the gender of the shopper and monitor their shopping patterns. This information could be used to personalize ads or offers based on the gender of the customer.

  2. Security Surveillance: The model could be implemented in CCTV systems at shopping malls, bus stations, airports, etc., to monitor and detect specific genders for various safety precautions.

  3. Automated Customer Service: In a store contextual setup, the model can be used to automate customer services by identifying the gender and providing personalized guides/help based upon the identified class.

  4. Public Space Design Research: City planners and architects can use the data collected from the model to better understand how different genders interact with public spaces, aiding in the creation of more inclusive and accommodating designs.

  5. In-Store Marketing: Retailers can use the information provided by the model to position products strategically based on the sections that are frequently visited by each gender. This can help to increase the effectiveness of in-store marketing and promotions.

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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{
                            koton-cender-detection_dataset,
                            title = { Koton Cender Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Ceyda Demirci },
                            howpublished = { \url{ https://universe.roboflow.com/ceyda-demirci-gwvmh/koton-cender-detection } },
                            url = { https://universe.roboflow.com/ceyda-demirci-gwvmh/koton-cender-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-24 },
                            }