Skip to content

Latest commit

 

History

History
24 lines (13 loc) · 1.33 KB

README.md

File metadata and controls

24 lines (13 loc) · 1.33 KB
Raw

Tagging Annotation Example

Tagging annotation involves the task of recognizing and assigning labels to the elements within an image or shape.

Tagging Model

X-AnyLabeling offers a range of tagging models for annotation, including RAM and RAM++. These models can be utilized for object tagging at the image-level or shape-level, and they can even be integrated with other models to create more intriguing pipelines like GroundingSAM.

Here:

  • RAM is a strong image tagging model, which can recognize any common category with high accuracy.
  • RAM++ is the next generation of RAM, which can recognize any category with high accuracy, including both predefined common categories and diverse open-set categories.

Image-level Tagging

Shape-level Tagging

For detailed output examples, refer to this folder.