This is the Linux app named Grounded-Segment-Anything whose latest release can be downloaded as Grounded-Segment-Anythingsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Grounded-Segment-Anything
DESCRIPTION
Grounded-Segment-Anything is a research-oriented project that combines powerful open-set object detection with pixel-level segmentation and subsequent creative workflows, effectively enabling detection, segmentation, and high-level vision tasks guided by free-form text prompts. The core idea behind the project is to pair Grounding DINO — a zero-shot object detector that can locate objects described by natural language — with Segment Anything Model (SAM), which can produce detailed masks for objects once they are localized. This fusion lets users provide arbitrary text descriptions (e.g., “a cat, a bicycle, or a coffee mug”), have the detection model find relevant bounding boxes, and then use SAM to generate precise segmentation masks that isolate each object in the scene.
Features
- Combines Grounding DINO detection with SAM segmentation
- Zero-shot object segmentation using free-form text prompts
- Supports demo workflows including inpainting and dataset annotation
- Modular pipeline integrating language, detection, and segmentation
- Extensions for audio or visual prompts with auxiliary models
- Useful for research and prototype interactive vision systems
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/grounded-sam.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
