x-anylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

https://github.com/cvhub520/x-anylabeling

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary

Keywords

annotation-tool classification clip deep-learning deeplearning depth-estimation grounding-dino image-segmentation labeling-tool llm matting object-detection onnx paddle pose-estimation pytorch resnet sam vlm yolo

Last synced: 4 months ago · JSON representation ·

Repository

Effortless data labeling with AI support from Segment Anything and other awesome models.

Basic Info

Host: GitHub
Owner: CVHub520
License: gpl-3.0
Language: Python
Default Branch: main
Homepage:
Size: 122 MB

Statistics

Stars: 6,406
Watchers: 40
Forks: 707
Open Issues: 15
Releases: 0

Topics

Created over 2 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing Funding License Citation Security Cla

README.md

[English](README.md) | [简体中文](README_zh-CN.md)

Auto-Labeling

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

Detect Anything

Segment Anything

Chatbot

VQA

🥳 What's New

Bump version to 3.2.2
Add AI Assistant and prompt template management for VQA
Add support for batch editing multiple shapes simultaneously
Add support for Show/Hide shape attributes on canvas
Add support for automated training platform with Ultralytics tasks in X-AnyLabeling Link
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

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}} }

🔝 Back to Top

Owner

Name: CVHub
Login: CVHub520
Kind: user
Company: CVHub

Website: https://github.com/CVHub520
Repositories: 10
Profile: https://github.com/CVHub520

Welcome to CVHub!

Citation (CITATION.cff)

cff-version: 1.2.0
title: X-AnyLabeling
message: 'If you use this software, please cite it as below.'
type: software
authors:
  - given-names: Wei
    family-names: Wang
    affiliation: CVHub
    orcid: 'https://orcid.org/0009-0004-1514-5330'
repository-code: 'https://github.com/ultralytics/ultralytics'
url: 'https://github.com/CVHub520/X-AnyLabeling'
license: GPL-3.0

Committers

Last synced: 8 months ago

All Time

Total Commits: 838
Total Committers: 23
Avg Commits per committer: 36.435
Development Distribution Score (DDS): 0.062

Past Year

Commits: 502
Committers: 17
Avg Commits per committer: 29.529
Development Distribution Score (DDS): 0.078

Top Committers

Name	Email	Commits
cvhub	c**b@1**m	786
mengjunbo	c**m@1**m	12
PairZhu	1**8@q**m	8
Julian Stirling	j**n@j**k	4
mgl	9**1@q**m	3
wei	y**1@c**m	2
hdnh2006	h**v@g**m	2
wpNZC	1**2@q**m	2
charles	2****d	2
jack.wang	9**9@q**m	2
kbaicai	1****i	2
pang	l**g@1**m	2
黎沐华	L**a@o**m	1
Anchel	3****p	1
Flyman	i**v@1**m	1
Thenvy	6****y	1
kenwaytis	k**s@1**m	1
a	f**1@g**m	1
Andrew Quitmeyer	a**r@g**m	1
liutao	l**t@g**n	1
lsl	z**s@o**m	1
Koen van Wijlick	k**k@g**m	1
PC-HP	w**e@g**m	1

Committer Domains (Top 20 + Academic)

163.com: 5 qq.com: 4 geneplus.org.cn: 1 csrzic.com: 1 julianstirling.co.uk: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 796
Total pull requests: 113
Average time to close issues: 10 days
Average time to close pull requests: 9 days
Total issue authors: 521
Total pull request authors: 48
Average comments per issue: 2.26
Average comments per pull request: 1.28
Merged pull requests: 54
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 405
Pull requests: 78
Average time to close issues: 6 days
Average time to close pull requests: 3 days
Issue authors: 290
Pull request authors: 25
Average comments per issue: 2.06
Average comments per pull request: 1.23
Merged pull requests: 40
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

lhj5426 (39)
aiyou9 (28)
monkeycc (11)
AImagicAI (11)
jiangtangaaaa (9)
ljh725 (8)
CVHub520 (6)
123456com1 (5)
ChaXxl (5)
biyuefeng (5)
GZhengyang (5)
Younkee926 (5)
Thompson21666 (4)
elichan5168 (4)
winner-4 (4)

Pull Request Authors

zhixuwei (16)
CVHub520 (10)
hsiong (8)
PairZhu (6)
donkinone (5)
chevydream (4)
wpNZC (4)
zhangmx (3)
sunmooncode (3)
LiMuhua (2)
Keval-P (2)
ltnetcase (2)
talebolano (2)
peterthebestcshost (2)
eltociear (2)

Top Labels

Issue Labels

question (437) Clarified (135) enhancement (132) bug (127) Fixed (36) Implemented (27) duplicate (24) invalid (14) wontfix (11) help wanted (10) awaiting response (7) documentation (4) In Progress (3) solution (3) Planned (2) good first issue (1)

Pull Request Labels

enhancement (18) Fixed (10) bug (4) Implemented (4) question (4) documentation (3) invalid (2) wontfix (2) duplicate (1)

Packages

Total packages: 1
Total downloads:
- pypi 99 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 1
Total maintainers: 1

pypi.org: x-anylabeling

Advanced Auto Labeling Solution with Added Features

Homepage: https://github.com/CVHub520/X-AnyLabeling
Documentation: https://x-anylabeling.readthedocs.io/
License: GPLv3
Latest release: 2.4.2
published 10 months ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 99 Last month

Rankings

Dependent packages count: 9.6%

Average: 31.7%

Dependent repos count: 53.8%

Maintainers (1)

bo-7167

Last synced: 5 months ago

Dependencies

pyproject.toml pypi

requirements-dev.txt pypi

build * development
pyinstaller * development
twine * development

requirements-gpu-dev.txt pypi

build * development
pyinstaller * development
twine * development

requirements-gpu.txt pypi

PyQt5 ==5.15.7
PyYAML ==6.0
imgviz ==1.5.0
natsort ==8.1.0
onnx ==1.13.1
onnxruntime-gpu ==1.14.1
opencv-contrib-python-headless ==4.7.0.72
pyclipper *
qimage2ndarray ==1.10.0
shapely *
termcolor ==1.1.0

requirements-macos-dev.txt pypi

build * development
twine * development

requirements-macos.txt pypi

PyYAML ==6.0
imgviz ==1.5.0
natsort ==8.1.0
onnx ==1.13.1
onnxruntime ==1.14.1
opencv-contrib-python-headless ==4.7.0.72
pyclipper *
qimage2ndarray ==1.10.0
shapely *
termcolor ==1.1.0

requirements.txt pypi

PyQt5 ==5.15.7
PyYAML ==6.0
imgviz ==1.5.0
natsort ==8.1.0
onnx ==1.13.1
onnxruntime ==1.14.1
opencv-contrib-python-headless ==4.7.0.72
pyclipper *
qimage2ndarray ==1.10.0
scipy *
shapely *
termcolor ==1.1.0
tqdm *

setup.py pypi

Pillow >=2.8
PyQt5 >=5.15.7
PyYAML *
imgviz >=0.11
natsort >=7.1.0
numpy *
onnx ==1.13.1
opencv-python-headless *
pyclipper *
qimage2ndarray ==1.10.0
scipy *
shapely *
termcolor *
tqdm *