Google’s Gemini 2.5 introduces advanced conversational image segmentation capabilities, transforming how AI identifies and outlines images. Unlike traditional methods that use predefined labels, this technology allows users to query complex relationships within images using natural language. For example, users can ask the model to find “the car that is farthest away” or “the book third from the left.” Gemini 2.5 excels in relational understanding, comparative attributes, and conditional logic, making it a powerful tool for various applications, including workplace safety by identifying employees lacking proper safety gear. This flexibility moves beyond rigid classification systems, allowing tailored solutions for specific industries and user needs. Developers can access these features via the Gemini API and explore them through the Spatial Understanding demo on Google AI Studio. With these capabilities, Gemini sets a new standard for AI-driven visual comprehension.
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