Segment Anything Annotator

screenshot of Segment Anything Annotator

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal ...

Overview

The segment-anything-annotator is an innovative Python-based user interface designed for pixel-level image annotation, leveraging the capabilities of both labelme and segment-anything. This tool is especially useful for generating multiple masks through user prompts, thus enhancing efficiency in the annotation process. With features tailored for both still images and video datasets, this software aims to streamline workflows for researchers and developers in computer vision and machine learning fields. Ongoing updates promise to integrate more advanced methods, ensuring that users will have access to cutting-edge functionalities as they become available.

Features

  • Interactive Segmentation by SAM: Utilize point and box prompts for seamless mask generation, enhancing user experience and precision.
  • Multiple Output Choices: Flexibility in output formats, including integration with labelme, allowing users to choose what best fits their needs.
  • Category Annotation: Easy categorization of annotated objects, aiding organization and analysis in various projects.
  • Polygon Modification: Users can easily edit polygons, whether it's adjusting boundaries or changing category labels, for finer accuracy.
  • STCN for Video Dataset Annotation: Built-in capabilities for annotating video datasets, which is critical for time-based analysis in research.
  • User-Friendly Interface: The intuitive design ensures that both novice and experienced users can navigate the platform effectively.
  • Continuous Improvement: Ongoing feature additions, such as CLIP integration for category proposals, show a commitment to enhancing the user experience.
  • Robust Installation Requirements: Tailored for Python users, with clear installation guidelines to ensure smooth setup and operation.