Metadata-Version: 2.4
Name: labeltrain
Version: 4.0.0
Summary: Advanced Image Labeling Tool
Home-page: https://github.com/yourusername/labeltrain
Author: Mahdi Mirzakhani
Author-email: mr79mahdi@gmail.com
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: PyQt6>=6.4.0
Requires-Dist: opencv-python>=4.7.0
Requires-Dist: numpy>=1.23.0
Requires-Dist: Pillow>=9.3.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
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# LabelTrain 

**LabelTrain** is a lightweight and user-friendly graphical tool for image annotation.  
It allows you to quickly label objects in images and export annotations in multiple formats such as **YOLO, Pascal VOC, COCO, and CSV**.

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## ✨ Features
- Intuitive **GUI built with Tkinter**
- **Add, edit, delete** bounding boxes
- **Class management** (add/remove categories)
- **Zoom and navigation** support for large datasets
- **Multiple export formats**:
  - YOLO (.txt)
  - Pascal VOC (.xml)
  - COCO (.json)
  - CSV (.csv)
- **Autosave settings** to resume work easily
- Cross-platform: works on Windows, Linux, macOS

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