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AnyLabeling

Effortless AI-powered data labeling

Computer VisionFeaturedOpen Source

Advanced data labeling tool with AI support from Segment Anything and YOLO models. Features automated annotation, offline capabilities, and seamless integration with computer vision workflows.

AnyLabeling

About AnyLabeling

AnyLabeling revolutionizes the data annotation process by integrating cutting-edge AI models directly into an intuitive labeling interface. Built for computer vision practitioners, researchers, and data scientists, it eliminates the tedious manual work traditionally associated with dataset preparation.

The tool leverages Meta's Segment Anything Model (SAM) and state-of-the-art YOLO models to provide intelligent auto-annotation capabilities. Users can annotate objects with just a few clicks or text prompts, dramatically reducing the time required for dataset preparation from hours to minutes.

With complete offline functionality, AnyLabeling ensures your sensitive data never leaves your local environment, making it perfect for enterprise and research applications where data privacy is paramount.

Key Features

AI-powered auto-annotation with Segment Anything Model
Support for YOLO, COCO, and custom model formats
Completely offline data processing
Intuitive polygon, rectangle, and point annotation tools
Export to YOLO, COCO, Pascal VOC, and more formats

Technologies

PythonPyQtYOLOSegment AnythingComputer VisionOpenCVONNX

Installation

Install with pip:

pip install anylabeling