Weiming Chen (陈玮铭)

Weiming Chen (陈玮铭)

Ph.D. Candidate

Visual Annotation Platform (VAP)

Demo

👋 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
  • Language & Library: Python, PySide6
  • Supported Language: Simplified Chinese
  • Latest version: 0.4.0
Download VAP

📆 Schedule

  • 2023.04: the second-round alpha test was finished.
  • 2023.03: version 0.4.0 was released.
  • 2022.12: the first-round alpha test was finished.
  • 2022.11: version 0.3.0 was released.
  • 2022.11: version 0.2.0 was released.
  • 2022.11: version 0.1.1 was released.
  • 2022.11: the Github repository was created (in private).
  • 2022.08: the idea of VAP was born.

🔖 Background

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.

🤝 Contributors

  • Bing Han (Prof.): the project leader of the XDU-PCTCC.
  • Ping Wang (Ph.D): a member of the 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.

💎 Acknowledgment

VIPL