Visual Annotation Platform (VAP)

News 📌

• Schedule 📅
  • version 0.5.0 is on the schedule.
• 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.

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.

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.

• Project Leader: Weiming Chen

• Programmer: Weiming Chen

• Language & Library: Python, PySide6

• Current version: 0.4.0

Other 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 💎