Detection bag logo Object Detection Dataset and Pre-Trained Model by CVandDL

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Explore Dataset

Here are a few use cases for this project:

Retail Inventory Management: Retailers can use the "Detection bag logo" model to track inventory of designer bags in their stores. By uploading images of their stock, the model can automatically identify the brands, making inventory organization and management more efficient.
Brand Counterfeit Detection: The model can assist in identifying counterfeit designer bags by analyzing the logos. Law enforcement or retailers can use the tool to compare images of suspicious products with verified branded bags, helping to reduce counterfeit sales.
E-commerce Product Tagging: Online marketplaces and retailers can use the "Detection bag logo" model to automatically tag the brand of bags uploaded by sellers, making the browsing and search experience more seamless for users looking for specific designer bag brands.
Second-hand Designer Bag Sales: In the rapidly growing second-hand luxury market, the model can be used to verify the authenticity of branded bags, increasing trust for both buyers and sellers. The model can also be used to filter search results by brand, making it easier for people to find the exact bag they are looking for.
Fashion Trend Analysis: By analyzing images on social media platforms or fashion magazines, the "Detection bag logo" model can track the popularity of different designer bag brands over time. This data can inform industry professionals about current trends, helping them make strategic decisions related to marketing, product development, and pricing.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ detection-bag-logo_dataset,
    title = { Detection bag logo Dataset },
    type = { Open Source Dataset },
    author = { CVandDL },
    howpublished = { \url{ https://universe.roboflow.com/cvanddl/detection-bag-logo } },
    url = { https://universe.roboflow.com/cvanddl/detection-bag-logo },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-02 },
}

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