X-AnyLabeling

X-AnyLabeling is an open-source annotation workspace that combines AI model assistance with manual review for text, image, video, and multimodal datasets.

X-AnyLabeling is a cross-platform desktop application designed for annotating complex datasets. It supports a full workflow from model-assisted labeling to dataset export for training. Users generate initial annotations using integrated models, then review and refine results directly within the workspace. The software supports tasks including classification, detection, segmentation, OCR, and document parsing. It integrates with mainstream models like YOLO, SAM, DINO, Qwen, and PPOCR while supporting inference backends like TensorRT and PyTorch. Annotations are exported in open formats like COCO, VOC, and YOLO.

X-AnyLabeling at a glance

Best for: Software engineer, Researcher
Runs on: Windows, macOS, Linux, open source
Pricing: Open source
Released: May 2023
Category: AI image tool
Website: xanylabeling.com

Key features

Supports polygons, rectangles, cuboids, rotated boxes, and point geometry
Integrates YOLO, SAM, DINO, Qwen, and PPOCR model families
Uses ONNX Runtime, TensorRT, and PyTorch for inference
Supports multiple languages including English, Japanese, and Korean
Handles multimodal tasks like VQA and document parsing
Exports data in COCO, VOC, YOLO, DOTA, and MOT formats

Use it for

Annotating image and video data with bounding boxes and masks
Parsing document layouts and tables with OCR models
Labeling video segments for classification tasks
Creating training data from visual-language model conversations

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