中文: README.zh.md

PicTag

Build image classification datasets efficiently.

PicTag is a specialized, high-performance tool designed for local image classification. It helps you organize your image collections with ease, making it the perfect companion for deep learning practitioners and data archivists.

✨ Features

• 🚀 High Performance: Built with modern web technologies and Python, ensuring a smooth experience even with large datasets.
• 🏷️ Efficient Tagging: Specialized interface for rapid image classification and tagging.
• 📂 Local First: All data is processed locally. Your images never leave your machine.
• 📊 Statistics: Built-in tools to visualize tag distribution and dataset balance.
• 🌓 Adaptive Theme: Automatically follows your system's light/dark mode preference.
• 🛠️ Cross-Platform: Available for Windows and Linux.
• ⏩ Auto Page Turning: Automatically switch to the next image after tagging.
• ⌨️ Customizable: Unlimited custom categories and keyboard shortcuts.
• ⚡ High Efficiency: Manual classification takes < 0.5s per image (estimated).
• 🗄️ Large Dataset Ready: Optimized for large datasets (tested with 10k+ images).
• 🌐 Bilingual: Native support for English and Chinese.

📺 Demo

【PicTag，超级好用的图片分类软件】 https://www.bilibili.com/video/BV1E9qqBaEyd/?share_source=copy_web&vd_source=02b9c3bad55a6d6dfebfa953558df337

📥 Download

Please visit the Releases page to download the latest binary for your operating system.

🚀 Usage

Windows

After downloading, simply double-click to run.

Linux

1. Download the corresponding binary file
2. Grant execute permission:

   chmod +x pictag-xxx

3. Start from the command line:

   ./pictag-xxx

   (Replace pictag-xxx with the actual file name)