caracal/X-AnyLabeling-v1-r1：https://github.com/CVHub520/X-AnyLabeling

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Text/Visual Prompting and Prompt-free for Detection & Segmentation

Detect Anything

Segment Anything

Chatbot

VQA

🥳 What’s New

Bump version to 3.1.2
Add support for Auto Mask Decode (AMD) mode for continuous point tracking in Segment Anything series models
Add support for RF-DETR object detection models (Medium, Small, Nano)
Add support for MM-Grounding-DINO annotations upload
For more details, please refer to the CHANGELOG

X-AnyLabeling

X-AnyLabeling is a powerful annotation tool that integrates an AI engine for fast and automatic labeling. It’s designed for multi-modal data engineers, offering industrial-grade solutions for complex tasks.

Features

Processes both images and videos.
Accelerates inference with GPU support.
Allows custom models and secondary development.
Supports one-click inference for all images in the current task.
Enable import/export for formats like COCO, VOC, YOLO, DOTA, MOT, MASK, PPOCR, MMGD, VLM-R1.
Handles tasks like classification, detection, segmentation, caption, rotation, tracking, estimation, ocr and so on.
Supports diverse annotation styles: polygons, rectangles, rotated boxes, circles, lines, points, and annotations for text detection, recognition, and KIE.

Model library

Task Category	Supported Models
🖼️ Image Classification	YOLOv5-Cls, YOLOv8-Cls, YOLO11-Cls, InternImage, PULC
🎯 Object Detection	YOLOv5/6/7/8/9/10, YOLO11/12, YOLOX, YOLO-NAS, D-FINE, DAMO-YOLO, Gold_YOLO, RT-DETR, RF-DETR
🖌️ Instance Segmentation	YOLOv5-Seg, YOLOv8-Seg, YOLO11-Seg, Hyper-YOLO-Seg
🏃 Pose Estimation	YOLOv8-Pose, YOLO11-Pose, DWPose, RTMO
👣 Tracking	Bot-SORT, ByteTrack
🔄 Rotated Object Detection	YOLOv5-Obb, YOLOv8-Obb, YOLO11-Obb
📏 Depth Estimation	Depth Anything
🧩 Segment Anything	SAM, SAM-HQ, SAM-Med2D, EdgeSAM, EfficientViT-SAM, MobileSAM,
✂️ Image Matting	RMBG 1.4/2.0
💡 Proposal	UPN
🏷️ Tagging	RAM, RAM++
📄 OCR	PP-OCR
🗣️ VLM	Florence2
🛣️ Land Detection	CLRNet
📍 Grounding	CountGD, GeCO, Grunding DINO, YOLO-World, YOLOE
📚 Other	👉 model_zoo 👈

Docs

Examples

Contribute

We believe in open collaboration! X‑AnyLabeling continues to grow with the support of the community. Whether you’re fixing bugs, improving documentation, or adding new features, your contributions make a real impact.

To get started, please read our Contributing Guide and make sure to agree to the Contributor License Agreement (CLA) before submitting a pull request.

If you find this project helpful, please consider giving it a ⭐️ star! Have questions or suggestions? Open an issue or email us at cv_hub@163.com.

A huge thank you 🙏 to everyone helping to make X‑AnyLabeling better.

License

This project is licensed under the GPL-3.0 license and is only free to use for personal non-commercial purposes. For academic, research, or educational use, it is also free but requires registration via this form here. If you intend to use this project for commercial purposes or within a company, please contact cv_hub@163.com to obtain a commercial license.

Acknowledgement

I extend my heartfelt thanks to the developers and contributors of AnyLabeling, LabelMe, LabelImg, roLabelImg, PPOCRLabel and CVAT, whose work has been crucial to the success of this project.

Citing

If you use this software in your research, please cite it as below:

@misc{X-AnyLabeling,
  year = {2023},
  author = {Wei Wang},
  publisher = {Github},
  organization = {CVHub},
  journal = {Github repository},
  title = {Advanced Auto Labeling Solution with Added Features},
  howpublished = {\url{https://github.com/CVHub520/X-AnyLabeling}}
}

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