Core Viewpoint - The article discusses the advancements in AI visual understanding, particularly focusing on the new model FG-CLIP 2 developed by 360, which significantly improves detail recognition and spatial understanding compared to previous models [10][11][21]. Group 1: Model Performance - FG-CLIP 2 has achieved superior performance in eight categories and 29 tests, surpassing Google and Meta, making it the strongest visual-language model currently available [11][26]. - In English tasks, FG-CLIP 2 scored an average of 81.10, significantly higher than Meta CLIP 2's 72.71, Google SigLIP 2's 71.87, and OpenAI CLIP's 64.10 [30][34]. - The model demonstrates a remarkable ability to understand spatial relationships and fine details, such as distinguishing between different cat breeds based on fur texture and position [18][19]. Group 2: Data Quality and Training - The core of FG-CLIP 2's capabilities lies in its high-quality dataset, FineHARD, which includes 500 million pairs of images and texts, specifically designed to enhance semantic understanding [36][37]. - The training process involves a two-stage strategy that first establishes a global understanding before focusing on fine details, allowing the model to evolve from general recognition to pixel-level understanding [42][49]. - FG-CLIP 2 incorporates a unique data adaptive resolution strategy, optimizing image processing efficiency and accuracy [54][55]. Group 3: Applications and Impact - FG-CLIP 2 has been integrated into various business applications, including advertising image matching, IoT camera intelligent retrieval, and content moderation, serving as a foundational technology for these services [57]. - The model's ability to perform detailed image searches and content generation supervision enhances its utility in e-commerce, security, and media management [58]. - 360 aims to leverage FG-CLIP 2 as a core capability for AI development across multiple industries, positioning itself as a leader in the AI landscape [60][61].