# Article Overview: What is DINO: Understanding the Self-Supervised Vision Transformer's Core Technology, Use Cases, and Roadmap
DINO represents a revolutionary self-supervised learning framework that enables Vision Transformers to extract powerful visual features without labeled data, achieving 78.3% ImageNet accuracy through innovative teacher-student knowledge distillation. This article explores DINO's technical architecture, practical applications across autonomous driving, industrial quality control, and smart home systems, while mapping its evolution from DINO to DINOv2, DINO-X, and DINO-XSeek. Designed for AI practitioners, researchers, and enterprise decision-makers, this guide clarifies how DINO solves the expensive data labeling problem while delivering state-of-the-art vision capabilities. The comprehensive roadmap reveals DINO's progression toward multimodal understanding and 3D perception, positioning it as a transformative solution for scalable computer vision deployments requiring minimal huma