DINO-X
Empowers large language models with real-world visual perception through image object detection, localization, and captioning APIs.
关于
DINO-X is an MCP server that augments large language models with advanced visual perception capabilities. It addresses the common limitation of multimodal models by providing precise localization and high-quality structured outputs for visual content. This enables fine-grained image understanding, targeted object detection based on natural language prompts, accurate object counting, attribute reasoning, and even human pose estimation, facilitating the creation of natural language-driven visual agents for diverse real-world automation and analytical scenarios.
主要功能
- Provides APIs for detecting all recognizable objects, specific objects by text prompt, and human pose keypoints.
- 3 GitHub stars
- Accurately obtains object count, position, and attributes from images.
- Enables fine-grained image understanding, including full-scene recognition and targeted detection.
- Integrates seamlessly with MCP Clients and other MCP Servers for multi-step visual workflows.
- Supports building natural language-driven visual agents for real-world automation.
使用案例
- Performing detailed object detection and localization for specific elements within images.
- Accurately counting instances of objects like cardboard boxes in a warehouse or cars by color.
- Analyzing visual content for attributes and reasoning, such as identifying the tallest person or detecting specific features like fire areas in a forest.