X-AnyLabeling — Effortless AI-Powered Data Labeling for Multi-Modal Data Engineers
Overview
X-AnyLabeling is a comprehensive annotation tool that simplifies the data labeling process with AI support from Segment Anything and other advanced models. It stands out for its ability to handle complex tasks with industrial-grade solutions, catering to multi-modal data engineers. The tool is designed to accelerate inference with GPU support and offers a wide range of annotation styles and task types.
Key Features
- Supports remote inference service for scalability
- Processes both images and videos for versatility in data handling
- Accelerates inference with GPU support for improved performance
- Allows custom models and secondary development for flexibility
- Supports one-click inference for all images in the current task for efficiency
- Handles tasks like classification, detection, segmentation, and more for comprehensive data annotation
Use Cases
- Data scientists and engineers using X-AnyLabeling for efficient data labeling in machine learning projects
- Researchers leveraging the tool for object detection and image segmentation in computer vision tasks
- Enterprises employing the tool for automating the annotation process in large-scale data sets
Advantages
- Integrates AI for fast and automatic labeling, reducing manual effort
- Supports a wide range of output formats, including COCO, VOC, YOLO, and more, for compatibility with various ML frameworks
- Offers a user-friendly interface and a variety of annotation styles to suit different needs
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- Custom model integration might require a steep learning curve for new users
- The tool's performance with very large datasets or in distributed environments is not explicitly mentioned
Similar / Related Projects
- Labelbox: A data labeling platform that also offers AI-assisted labeling but with a focus on cloud-based solutions.
- CVAT: An open-source tool for computer vision annotation tasks, which may have a different feature set and user interface compared to X-AnyLabeling.
- MakeSense: A tool that provides an annotation platform with a strong community focus and a different set of integrated models.
Basic Information
- GitHub: X-AnyLabeling
- Stars: 6,988
- License: Unknown
- Last Commit: 2025-11-16
📊 Project Information
- Project Name: X-AnyLabeling
- GitHub URL: https://github.com/CVHub520/X-AnyLabeling
- Programming Language: Python
- ⭐ Stars: 6,988
- 🍴 Forks: 776
- 📅 Created: 2023-05-23
- 🔄 Last Updated: 2025-11-16
🏷️ Project Topics
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