object detection Computer Vision Project

FIRST PROJECT

Updated 2 years ago

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Classes (14)
Beards
Black shoe
Brown shoe
Green shirt
High hair
Low hair
No beards
No tie
Red shirt
Tie
Tucked
Untucked
packed hair
unpacked hair

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Description

Here are a few use cases for this project:

  1. Retail Store Inventory Management: Using the "object detection" model, retail owners can easily keep track of their product listings such as shoes and shirts by differentiating based on color and style. This could help automate product counts and inventory management.

  2. Dress Code Compliance: Businesses or schools can enforce dress code adherence by identifying whether a person is wearing appropriate attire such as distinguishing between tucked and untucked shirts or ensuring they are wearing ties when necessary.

  3. Personalized Shopping Experience: E-commerce platforms can use this model to offer a personalized shopping experience. Users can upload their photos and the system could make recommendations based on the color and style preferences identified in their attire.

  4. AI-Based Styling Applications: An AI styling app could use the object detection model to suggest different hairstyles (low hair, high hair, unpacked hair, packed hair) and facial styling (beard, no beard) to users based on their current style captured in a picture.

  5. Security and Law Enforcement: The model can be used to identify and recognize individuals based on their physical attributes like clothing, hair, and beard style, assisting in surveillance, person tracking, or identifying persons of interest in law enforcement scenarios.

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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{
                            object-detection-rfte7_dataset,
                            title = { object detection Dataset },
                            type = { Open Source Dataset },
                            author = { FIRST PROJECT },
                            howpublished = { \url{ https://universe.roboflow.com/first-project-arbdt/object-detection-rfte7 } },
                            url = { https://universe.roboflow.com/first-project-arbdt/object-detection-rfte7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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