Transformative Deep Learning for Image Colorization with Machine Learning-Based Classification

Imagine a user opening a technical manual, eager to troubleshoot an issue, only to find a mix of stark black-and-white illustrations alongside a few color images. This inconsistency not only detracts from the user experience but also complicates understanding. For technicians relying on these documents, grayscale graphics hinder quick interpretation of diagrams, extending diagnostics time and impacting overall productivity. Producing high-quality color graphics typically requires significant investment in time and resources, often necessitating a dedicated graphics team. Our innovative pipeline addresses this challenge by automating the colorization and classification of existing grayscale graphics. This approach delivers consistent, visually engaging content without the extensive investment in specialized teams, enhancing the visual appeal of materials and streamlining the diagnostic process for technicians. With clearer, more vibrant graphics, technicians can complete tasks more efficiently, ultimately saving time and money. Our project utilizes advanced deep learning techniques and a transformer-based architecture known as DDColor, focusing on: • AUTOCOLORIZATION: Automating the colorization of grayscale graphics using a pixel decoder and a transformer-based color decoder that learns semantic-aware color representations. • CLASSIFICATION: A classification model categorizes output images into "perfect" and "not perfect" buckets for rigorous quality control, ensuring only the best visuals are presented. AWS services are utilized to serve quick colorization requests, allowing for efficient processing and timely delivery of results. By implementing these technologies, we achieve consistent visuals while significantly reducing the time and resources required for graphic content development. Business Impact: • Increased Efficiency: Streamlining graphic production leads to more consistent results. • Reduced Diagnostics Time: Clearer graphics enable technicians to complete diagnostics faster, enhancing productivity. • Support for Existing Teams: The solution complements graphics teams, allowing them to focus on complex tasks while automating colorization. • Cost and Time Savings: Automation results in significant time savings, leading to reduced operational costs. • Enhanced Customer Confidence: Consistent, high-quality visuals build trust among customers, improving satisfaction. • Positive Brand Value: Improved visual presentation and operational efficiency contribute to a stronger brand identity, positioning companies as leaders in quality and innovation.