Visual Annotation Platform (VAP)

Table of Contents

📍 News

  • Schedule
    • version 0.5.0 is under development.
  • 2023.04.05: the second-round alpha test was finished.
  • 2023.03.27: version 0.4.0 was released.
  • 2022.12.06: the first-round alpha test was finished.
  • 2022.11.27: version 0.3.0 was released.
  • 2022.11.05: version 0.2.0 was released.
  • 2022.11.02: version 0.1.1 was released.
  • 2022.11.01: the Github repository was created (in private).
  • 2022.08.25: the idea of VAP was born.

🔖 About VAP

VAP is a general visual information annotation platform, which offers three levels of annotation functions, i.e. image-level, instance-level, and pixel-level.

  • Project Leader: Weiming Chen
  • Programmer: Weiming Chen
  • Programming Language & Library: Python, PySide6
  • Supported Language: Simplified Chinese
  • Latest Version: 0.4.0

📅 Background of VAP

This project aims to build a Visual Annotation Platform (VAP) for basic computer vision tasks. The current VAP supports image-level, instance-level, and pixel-level annotation, which corresponds to the image classification, object detection, and semantic segmentation task, respectively.

This project is based on the postgraduate case-teaching curriculum construction project of Xidian University (XDU-PCTCC), and has been further developed into an independent project.

🤝 Other Contributors

  • Bing Han (Prof.): the project leader of XDU-PCTCC.
  • Ping Wang (Ph.D): a member of XDU-PCTCC.
  • Yang Zhou (M.Eng): a participant in the first and second round of alpha test.
  • Weixiong Zhao (M.Sc): a participant in the first and second round of alpha test.
  • Yannan Xiong (M.Eng): a participant in the first-round alpha test.
  • Haitong Wang (M.Sc): a participant in the second-round alpha test.

📚 Publications

  • 韩冰, 陈玮铭, 王平, 熊燕南, 周洋, 赵玮雄. 视觉影像标注平台V1.0[P]. 中国, 计算机软件著作权. 登记号: 2023SR0432943, 登记日期: 2023年4月3日.
  • 韩冰, 陈玮铭, 周洋, 王海桐, 赵玮雄. 光学遥感影像数据处理平台V1.0[P]. 中国, 计算机软件著作权. 登记号: 2023SR0674142, 登记日期: 2023年6月15日.

💎 Acknowledgment

  • Visual Information Processing Lab (VIPL), School of Electronic Engineering, Xidian University