GetYourGuide's AI system uses a multi-stage computer vision pipeline to optimize the vast library of images submitted by its 50,000+ tour and activity suppliers. The primary goal is to automate the selection of the highest-impact visuals to increase booking conversions, a metric that can improve by up to 15% with high-quality photos.

The process begins with quality control. Models perform Image Quality Assessment to automatically filter out blurry, overexposed, or low-resolution images. Duplicate Detection algorithms then identify and remove redundant photos, ensuring visual variety. These initial steps are foundational, having a high business impact for a relatively low implementation complexity.

Next, the system focuses on content understanding. Using Object Detection and Segmentation, it identifies key elements within an image, such as landmarks, people, or specific activities. This is paired with Content Categorization to classify images into types like 'landscape,' 'interior,' or 'action shot,' which helps in creating a balanced and comprehensive gallery for each listing. Finally, an Aesthetic Scoring model, likely a deep neural network trained on human-rated images, predicts which photos are most visually appealing based on factors like composition, color harmony, and lighting. This scoring is critical, identified as a 'Very High' impact technique. The system uses these scores to rank images and select the best ones for prominent display, sometimes using Automated Cropping to perfect the final presentation.