Clothes Brand Logos Dataset
Description:
The Clothes Brand Logos Dataset is a collection of images featuring logos from four popular clothing brands: Adidas, Allen Solly, Puma, and US Polo. The dataset includes both real and fake versions of these logos, providing a comprehensive resource for training and evaluating logo detection models.
Categories:
- Adidas
- Allen Solly
- Puma
- US Polo
Dataset Structure:
Training Data:
- The training data consists of eight subfolders directly representing the image categories.
- Each subfolder contains real and fake logo images for a specific brand.
Test Data:
- The test data mirrors the structure of the training data, with eight subfolders representing each category.
- Each subfolder contains real and fake logo images for a specific brand.
Folder Structure:
|-- Training
| |-- Adidas_Real
| |-- Adidas_Fake
| |-- Allen_Solly_Real
| |-- Allen_Solly_Fake
| |-- Puma_Real
| |-- Puma_Fake
| |-- US_Polo_Real
| |-- US_Polo_Fake
|
|-- Test
| |-- Adidas_Real
| |-- Adidas_Fake
| |-- Allen_Solly_Real
| |-- Allen_Solly_Fake
| |-- Puma_Real
| |-- Puma_Fake
| |-- US_Polo_Real
| |-- US_Polo_Fake
Usage:
- This dataset can be used for training and evaluating logo detection models, particularly those aimed at detecting fake logos.
- Researchers and practitioners can leverage this dataset to develop robust algorithms for identifying counterfeit logos and protecting brand integrity.
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