Building UI/UX Dataset for Dark Pattern Detection and YOLOv12x-based Real-Time Object Recognition Detection System
Analysis
The article focuses on two key areas: creating a dataset for identifying deceptive UI/UX patterns (dark patterns) and developing a real-time object recognition system using YOLOv12x. The combination of these two aspects suggests a focus on improving user experience and potentially combating manipulative design practices. The use of YOLOv12x, a specific version of the YOLO object detection model, indicates a technical focus on efficient and accurate object recognition.
Key Takeaways
- •Focus on detecting and mitigating dark patterns in UI/UX design.
- •Development of a real-time object recognition system using YOLOv12x.
- •Potential for improving user experience and combating manipulative design.
Reference
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