Grounded-Segment-Anything is a suite of specialized tools for multimodal visual analysis, text-based segmentation, and generative image editing. It integrates text-to-bounding-box detection and high-precision image segmentation masks to function as a text-based image segmenter and an automated visual labeling tool.
The project enables text-driven image editing by identifying objects through natural language to perform inpainting and element replacement. It further extends visual analysis into three dimensions, allowing for 3D human reconstruction and the generation of 3D bounding boxes from text prompts.
The system covers a broad range of computer vision capabilities, including zero-shot visual recognition, object detection, and the automated generation of pseudo-labels for large-scale datasets. It also provides interfaces for conversational visual analysis and audio-driven object segmentation.
