Barcode Recognition Image Dataset

In the field of security protection, accurately recognizing and processing barcodes to protect information security is a significant challenge. Traditional solutions perform poorly when dealing with complex backgrounds and low-quality images, necessitating efficient image recognition techniques to improve recognition accuracy and efficiency. This dataset aims to enhance the performance and reliability of barcode recognition systems. Data collection relies on high-resolution image sensors, and the data is collected through on-site scanning equipment in various environments to ensure diversity. Quality is ensured through three rounds of annotation, consistency checks, and expert reviews. The annotation team consists of 10 image recognition professionals. In data preprocessing, denoising, grayscale balancing, and scale transformation techniques are applied, with final storage in JPG format, organized by category directories and index.