object detection Object Detection Dataset and Pre-Trained Model by FIRST PROJECT

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Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

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{ 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 2023-12-09 },
}