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Logo Authenticity Detector Dataset
Data Science and Analytics
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About
This dataset is designed for detecting fake and real logos, providing a valuable resource for machine learning and computer vision applications. It comprises image files, which have been uniformly resized to 70x70 pixels to optimise computational efficiency during model training. An accompanying CSV file maps various labels and references to filenames, crucially categorising logos as either genuine or fake, thereby supporting the development of robust logo authentication systems.
Columns
- Filename: The name of the specific logo image file.
- Brand Name: The brand or company name associated with each logo.
- Path to the logo: The file path indicating where the logo image can be located.
- Label: This column serves as an identifier for the brand or company name.
- Tagline: The marketing slogan or tagline associated with the brand.
- Class specifying whether logo is genuine or fake: This crucial column classifies each logo as either genuine or fake.
Distribution
The dataset primarily includes a CSV file used for mapping information, alongside the image files themselves. All images have been pre-processed and resized to a consistent 70x70 pixel shape. The mapping file contains details relating to 825 unique values for various labels and taglines. Analysis indicates that approximately 67% of the logos are classified as fake, with the remaining 33% being genuine. The sources do not specify the total number of rows or the exact file size of the dataset.
Usage
This dataset is highly suitable for developing and training computer vision models focused on logo detection and authentication. Ideal applications include object detection, image classification, and brand protection, especially within the fields of artificial intelligence and machine learning. It provides essential data for creating systems that can distinguish between genuine and counterfeit brand imagery.
Coverage
The dataset is intended for global application. The sources do not provide specific geographic or demographic scope for the logos included, nor do they detail a time range for the data's collection. The dataset was listed on 11 June 2025.
License
CCO
Who Can Use It
- Data scientists and machine learning engineers looking to build and test models for detecting fake or genuine logos.
- Researchers in the fields of computer vision, image processing, and artificial intelligence.
- Organisations and businesses with an interest in brand monitoring, intellectual property protection, and counterfeit detection.
Dataset Name Suggestions
- Logo Authenticity Detector Dataset
- Genuine vs. Fake Logos Collection
- Brand Identity Verification Dataset
- Image-Based Logo Classification Data
- AI Logo Security Dataset
Attributes
Original Data Source: Fake/Real Logo Detection Dataset
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