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X-AnyLabeling is an open-source data annotation platform designed to streamline the process of labeling datasets for computer vision and multimodal AI applications. The software integrates an AI-powered labeling engine that allows users to generate annotations automatically with the assistance of modern vision models such as Segment Anything and various object detection frameworks. It supports labeling tasks across images and videos and enables developers to prepare training datasets for tasks such as object detection, segmentation, classification, tracking, and pose estimation. The tool is built with an interactive graphical interface that simplifies annotation workflows and allows users to draw and edit labels directly on visual data. It also supports a wide range of export formats compatible with popular machine learning pipelines, making it easier to integrate with training frameworks.
Features
- AI-assisted automatic labeling using modern computer vision models
- Support for both image and video annotation workflows
- Compatibility with multiple annotation formats such as COCO, VOC, and YOLO
- GPU acceleration for faster inference and labeling tasks
- Custom model integration for extending annotation capabilities
- Support for diverse annotation shapes including polygons, rectangles, and keypoints
Project Samples
