Polygon-RNN++：分割数据集高效标记 https://github.com/davidjesusacu/polyrnn-pp
半自动图像标记工具 https://github.com/virajmavani/semi-auto-image-annotation-tool
基于web的视频图像标记工具 https://github.com/opencv/cvat
https://github.com/UniversalDataTool/universal-data-tool https://universaldatatool.com/
在线数据标注工作流管理工具 https://datasaur.ai/
机器学习研究标注工具列表 https://www.simonwenkel.com/2019/07/19/list-of-annotation-tools-for-machine-learning-research.html
极弱光环境标记图像数据集 https://github.com/cs-chan/Exclusively-Dark-Image-Dataset
Keras数据预处理/数据增广模块 https://github.com/keras-team/keras-preprocessing
VATIC - Video Annotation Tool - UC Irvine http://www.cs.columbia.edu/~vondrick/vatic/
Web界面的图像分割/目标检测标记工具 https://github.com/jsbroks/coco-annotator
文本/视觉处理工具集，包括文本标注、数据增广、数据集处理、转换器等 https://github.com/ming71/toolbox
在线深度学习自动抠图服务 https://www.remove.bg/
手把手教你十分钟搞定人物检测(使用Supervise.ly) https://mp.weixin.qq.com/s/Q56xdUaRLEMBUq8wiUrkyA
UltimateLabeling：集成最新检测/跟踪算法的多用途视频标注工具 https://github.com/alexandre01/UltimateLabeling
https://github.com/dennisbakhuis/pigeonXT
图像标记(标注)工具VIA https://gitlab.com/vgg/via/
基于开源深度学习API服务DeepDetect的图像自动标记(tagger)工具 https://github.com/CorentinB/DeepSort
基于OpenCV图像分割的半自动图像标注工具 https://github.com/abreheret/PixelAnnotationTool
Visipedia图像标注工具 https://github.com/visipedia/annotation_tools
基于网页的图像标注工具 https://github.com/NaturalIntelligence/imglab
开源文本标记工具 https://github.com/chakki-works/doccano
用Jupyter做数据标注的Widget https://github.com/natasha/ipyannotate
Anafora：网页版文本标注工具 https://github.com/weitechen/anafora
【doccano：基于网页的开源协同多语言文本标注工具】 https://github.com/doccano/doccano
点云/图像3D边界框标注工具 https://github.com/walzimmer/3d-bat
https://github.com/ahmetius/LP-DeepSSL
https://github.com/heartexlabs/label-studio
https://github.com/Dumbris/trunklucator
【Jupyter notebooks/Jupyter Lab的内联数据标注扩展】 https://github.com/ideonate/jupyter-innotater
FoLiA：WEB版文本标注工具 https://github.com/proycon/flat
【多功能、可扩展的图像标注工具】’Scalabel - a versatile and scalable tool that supports various kinds of annotations needed for training computer vision models, especially for driving environment' https://github.com/scalabel/scalabel
【人脸特征点标注工具】’FLAT - Facial Landmarks Annotation Tool - A visual editor for manually annotating facial landmarks in images of human faces.' https://github.com/luigivieira/Facial-Landmarks-Annotation-Tool
Gecko：人类对话高效标注工具 https://github.com/gong-io/gecko
社交行为标注分析工具 https://github.com/hcmlab/nova
【点云标注工具】’Point Cloud Labeling Tool - My awesome point cloud labeling tool' https://github.com/jbehley/point_labeler
面向AI训练的文本/文档标注服务 https://www.tagtog.net/
Poplar：网页版自然语言标注工具 https://github.com/synyi/poplar
https://github.com/l3p-cv/lost
MuViLab：多视频标注工具 https://github.com/ale152/muvilab
https://github.com/jayney/dataset_labeling
数据标注、标注管理等工具大列表 https://github.com/taivop/awesome-data-annotation
计算机视觉最佳开源标注工具 https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision
makesense.ai：免费在线图片标记工具 https://github.com/SkalskiP/make-sense
https://github.com/heartexlabs/awesome-data-labeling
通用实体标注基准框架 https://github.com/dice-group/gerbil
https://github.com/INK-USC/AlpacaTag
https://github.com/heartexlabs/label-studio
HyperLabelImg - 开源可视化图像标注工具(支持人脸关键点/不规则四边形/多边形标注)' https://github.com/zeusees/HyperLabelImg
this is the official PyTorch implementation of Curve-GCN (CVPR 2019). This repository allows you to train new Curve-GCN models.
https://github.com/fidler-lab/curve-gcn
语义分割编辑器：相机和激光雷达数据web标记工具 https://github.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
为资源受限训练数据收集提供更智能的手工标注 https://github.com/RTIInternational/SMART
点云标记工具 https://github.com/springzfx/point-cloud-annotation-tool
WebAnno：灵活的、基于网络、可视化的分布式文本标注系统 https://github.com/webanno/webanno
https://github.com/Slava/label-tool
https://github.com/bit-bots/imagetagger
https://github.com/mingx9527/Data_Label_Tools
图像标记(标注)工具VIA 新版本支持图像、音频和视频的手工标注。VIA在浏览器中运行，无需安装配置。 https://gitlab.com/vgg/via/
【标注工具推荐：面向视觉的 Make Sense 和面向文本的 Doccano 和 INCEpTION】 https://machinelearningtokyo.com/2020/06/04/annotation-tools-for-computer-vision-and-nlp/
【NLP标注平台综述】 https://github.com/alvations/annotate-questionnaire
CasiaLabeler: CASIA标注工具 - 轻量的标注软件，支持win10、ubuntu18和mac10.13+平台。主要适用于目标检测和实例分割等场景。可用于Faster RCNN, Mask RCNN, Yolo系列, SSD系列, Centernet系列等
https://github.com/msnh2012/CasiaLabeler
###【数据标注公司列表】《Data Annotation - learn latest trends and research》 https://data-annotation.com/list-of-data-annotation-companies/
无标注数据是鸡肋还是宝藏？阿里工程师这样用它 https://developer.aliyun.com/article/714554
Land cover mapping project：微软的卫星图像自动标记项目 https://github.com/microsoft/landcover
SuperAnnotate Desktop：快速图像/视频标注软件，可适应各种标注任务: 从目标检测、实例和语义分割、关键点标注、立方体注释到视频跟踪 https://github.com/opencv-ai/superannotate#download-and-installation-guide
快速图像视频标注软件：SuperAnnotate Desktop https://mp.weixin.qq.com/s/AEnQ6xjhaluAGE_-vlreQA
bbox-visualizer：几种不同的标注框显示样式 https://github.com/shoumikchow/bbox-visualizer
myvision：基于计算机视觉的机器学习训练数据生成工具(在线图像标注工具) https://github.com/OvidijusParsiunas/myvision
AutoAnnotationTool：【旨在减少语义分割标注时间的标注工具，支持矩形和多边形标注 https://github.com/andywang0607/AutoAnnotationTool
pawls：针对Semantic Scholar语料库中标注学术论文开发的标注采集工具 https://github.com/allenai/pawls
Label Studio：支持图片、音频、文本、时序及多模态的开源数据标注工具，v.0.9.0最新发布 https://github.com/heartexlabs/label-studio
面向计算机视觉和NLP任务的开源标注工具列表 https://github.com/Machine-Learning-Tokyo/Annotation_Tools
annotorious：JavaScript图像标注库 https://github.com/recogito/annotorious
MarkTool - 基于web的通用文本标注工具 https://github.com/FXLP/MarkTool by 华东理工大学-自然语言处理与医疗大数据实验室 支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注
Label Studio：支持图片、音频、文本、时序及多模态的开源数据标注工具，v.0.9.0最新发布 https://labelstud.io/blog/release-100.html
ProsoBeast Annotation Tool：语音语调交互可视化标注工具 github.com/prosodylab/prosobeast-annotation-tool
Curator：免编程、自监督学习和主动标记工具，用于从千兆级图像创建标记图像数据集 github.com/spaceml-org/Self-Supervised-Learner
Trescope：全面的3D机器学习开发工具，致力于提高3D领域开发速度，帮研究人员和开发人员标记、调试、可视化各种3D数据 github.com/alibaba/Trescope
SegGroup.annotator：基于WebGL的分割级标记工具 github.com/AnTao97/SegGroup.annotator
LabelImage - 在线图像标注工具，可用于深度学习实例分割模型训练 github.com/rachelcao277/LabelImage
《Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets》(CVPR 2021) github.com/fidler-lab/efficient-annotation-cookbook
Ozeu：面向实例分割的数据集自动标记工具包 github.com/xiong-jie-y/ozeu
Nota：用于图像/视频标注的网页应用 github.com/DeNA/nota
markup：主动学习强化的网页版文本标注工具 github.com/samueldobbie/markup
DeepLab2: TensorFlow深度标记库，包括但不限于语义分割、实例分割、全景分割、深度估计，甚至视频全景分割等 github.com/google-research/deeplab2
labelCloud：用于标记点云3D边框的轻量级工具 github.com/ch-sa/labelCloud
人群计数标注工具 github.com/Elin24/cclabeler
Label3D：图形界面多相机3D关键点标记工具 github.com/diegoaldarondo/Label3D
MONAILabel：基于AI的医学图像标注CS系统 github.com/Project-MONAI/MONAILabel
small-text：主动学习文本分类库，可在小数据场景高效标记训练数据 github.com/webis-de/small-text
django-labeller：用于创建分割数据集的图像标记工具 github.com/Britefury/django-labeller
机器学习数据标注工具选用指南 https://www.cloudfactory.com/data-annotation-tool-guide
Label Studio，可用于标注音视频、文本、图像、时间序列等数据类型，并导出为多种模型格式。 此外，该工具还支持多账号登录、流线型工作模式、可配置标签格式、集成机器学习模型、嵌入数据管道等功能。 github.com/heartexlabs/label-studio
fast-annotation-tool：手机端快捷标注工具 github.com/CyberAgent/fast-annotation-tool
github.com/Kazuhito00/GrabCut-Annotation-Tool/blob/main/README_EN.md
LabelFlow：开放图像标记平台 github.com/Labelflow/labelflow
DataQA platform：基于远程监督的文本标注平台 github.com/dataqa/dataqa
【KITTI-360标注工具】 ithub.com/autonomousvision/kitti360LabelTool
《Multi-label Classification with Partial Annotations using Class-aware Selective Loss》 github.com/Alibaba-MIIL/PartialLabelingCSL
音频事件检测数据集标注工具 github.com/jim-schwoebel/sound_event_detection
EISeg - 高效交互式语义分割标注软件 github.com/PaddleCV-SIG/EISeg
label-studio：具有标准化输出格式的多类型数据标注工具 github.com/heartexlabs/label-studio
github.com/decile-team/distil
LabelBee-Client：开箱即用的跨平台图像标注工具 github.com/open-mmlab/labelbee-client
PyLabel：计算机视觉标记任务库，核心功能是在不同格式之间转换边框标记，例如从coco到yolo ithub.com/pylabel-project/pylabel
doccano：基于网页的开源协同多语言文本标注工具 github.com/doccano/doccano
DeepLabCut: 用于执行多种任务的动物无标记姿态估计工具箱 github.com/DeepLabCut/DeepLabCut
Satellite imagery annotation tool：用于创建和共享卫星/航拍图像场景矢量标注的轻量Web界面 github.com/microsoft/satellite-imagery-labeling-tool
Stray Studio - 3D Data Annotation Tool：3D数据和点云的图形界面标注工具 github.com/StrayRobots/3d-annotation-tool
COCO图片标注工具 github.com/naver-ai/coco-annotation-tool
Label Studio is a multi-type data labeling and annotation tool with standardized output form github.com/Heartexlabs/label-studio
labelGo：基于labelImg及YOLOV5的图形化半自动标注工具 github.com/cnyvfang/labelGo-Yolov5AutoLabelImg
【Open Source Data Annotation & Labeling Tools：开源数据标注和标记工具列表】’Open Source Data Annotation & Labeling Tools - Open Source Data Annotation & Labelling Tools' by ZenML GitHub: github.com/zenml-io/awesome-open-data-annotation
【ImageNet Annotation Tool - Frontend (FE)：ImageNet标注工具(前端)】’ImageNet Annotation Tool - Frontend (FE)' by NAVER AI GitHub: github.com/naver-ai/imagenet-annotation-tool
【Intelligent Pixel Annotation Tool (IPAT)：web版交互式像素级图像标注工具】’Intelligent Pixel Annotation Tool (IPAT) - A web based interactive image annotation tool.' by KunyangHan GitHub: github.com/KunyangHan/Intelligent-Pixel-Annotation-Tool
【jupyter_bbox_widget：用于用边框标注图像的Jupyter widget】'jupyter_bbox_widget - A Jupyter widget for annotating images with bounding boxes' by Daria Vasyukova GitHub: github.com/gereleth/jupyter-bbox-widget
「GitHub多星项目 ✨」7.4K⭐️ Wkentaro/labelme: 「Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag https://github.com/wkentaro/labelme
GitHub 上一款开源的数据标注神器：Label Studio，可用于标注音视频、文本、图像、时间序列等数据类型，并导出为多种模型格式。 此外，该工具还支持多账号登录、流线型工作模式、可配置标签格式、集成机器学习模型、嵌入数据管道等功能。 GitHub：github.com/heartexlabs/label-studio
'ModelFun - 一站式自动化开源标注平台' by CLUE benchmark O网页链接 GitHub: github.com/CLUEbenchmark/modelfun
【TORAS：AI辅助数据标注平台】“Toronto Annotation Suite (TORAS) - a web-based AI-powered annotation platform” https://aidemos.cs.toronto.edu/toras/landing
【Blender Labelling Tool：基于Blender的图像标注工具】’Blender Labelling Tool - Image annotation tool made on top of Blender. YOLO, COCO, Pascal VOC' by Dene GitHub: github.com/Dene33/Blender-Labelling-Tool
'Xtreme1 - The Next GEN Platform for Multisensory Training Data' by BasicAI GitHub: github.com/basicai/xtreme1
开源的数据标注工具。支持音频、文本、图像、视频、时间序列等，多种类型数据的标注和注释工具。 https://github.com/heartexlabs/label-studio
【WEBVICOB: 网页版可视化数据标注工具】’WEBVICOB: WEB based VIsual COrpus Builder' by Clova AI Research GitHub: github.com/clovaai/webvicob
【Streamlit文档/小票标注组件】’Streamlit - Labeling Component - Streamlit component for invoice document labeling' by Katana ML GitHub: github.com/katanaml/streamlit-sparrow-labeling-comp
【vLabeler：开源的语音标注程序】'vLabeler - Open source voice labeling application' sdercolin GitHub: github.com/sdercolin/vlabeler
【Song Describer：开源音乐数据标注工具，用于收集和评估音乐录音的文本描述】'Song Describer - Song Describer is a data collection platform for annotating music with textual descriptions.' Ilaria Manco GitHub: github.com/ilaria-manco/song-describer
'OmniLabelTools - A Python toolkit for the OmniLabel benchmark providing code for evaluation and visualization' samschulter GitHub: github.com/samschulter/omnilabeltools
【Text Highlighter：可以标注文本的 Streamlit 组件】’Text Highlighter - A Streamlit component for annotating text by text selecting.' Kevin GitHub: github.com/kevin91nl/text-highlighter
【Segment Anything Labelling Tool (SALT)：基于Segment Anything(SAM)的原图像标注工具】’Segment Anything Labelling Tool (SALT)' Anurag Ghosh GitHub: github.com/anuragxel/salt
【SAM-RBox：基于SAM (Segment Anything Model) + MMRotate的旋转标注框生成】’SAM-RBox - SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.' Li-Qingyun GitHub: github.com/Li-Qingyun/sam-mmrotate
【Semantic-Segment-Anything：用稠密分类标注引擎增强了的Segment Anything dataset (SA-1B)】'Semantic-Segment-Anything - Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).' Fudan Zhang Vision Group GitHub: github.com/fudan-zvg/Semantic-Segment-Anything
【OpenContracts：免费开源协同文本标注平台】'OpenContracts - Free, Open Source collaborative text annotating platform based on React and Django' JSIV GitHub: github.com/JSv4/OpenContracts
【AnyLabeling：Segment Anything + YOLO 图像标注工具】’AnyLabeling - Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO, AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling’ Viet-Anh, Nguyen GitHub: github.com/vietanhdev/anylabeling
【LabelU：中文的开源数据标注工具】'LabelU - Uniform, Unlimited, Universal and Unbelievable Annotation Toolbox' opendatalab GitHub: github.com/opendatalab/labelU
【Streamlit Image Annotation：用来做图像标注的Streamlit组件】’Streamlit Image Annotation - Streamlit component for image annotation.' hirune924 GitHub: github.com/hirune924/Streamlit-Image-Annotation
'ISAT with segment anything - Image segmentation annotation tool with segment anything.（图像分割标注工具，支持语义分割与实例分割，集成segment anything，实现快速图像分割标注）' yatengLG GitHub: github.com/yatengLG/ISAT_with_segment_anything
【DeepDataSpace：开源的数据集工具，具备以下特点：交互式数据集可视化和探索、智能标注与协作工作流、高效的模型管理和性能分析】'DeepDataSpace - The Go-To Choice for CV Data Visualization, Annotation, and Model Analysis.' IDEA-Research GitHub: github.com/IDEA-Research/deepdataspace
GitHub 上一个强大的图像标记基础模型：Recognize Anything Model (RAM)。 RAM 采用一种新的图像标记范例，可高精度地识别任何常见类别，并利用大规模图像文本对进行训练，而不是手动注释。 GitHub：github.com/xinyu1205/Recognize_Anything-Tag2Text
【X-AnyLabeling：一种简单的数据标注工具，支持使用AI进行标注，提供了多种功能，包括图像标注、文本检测和识别、关键信息提取等。支持多种语言，包括英文和中文。该工具具有高级检测器，例如YOLOv6、YOLOv7、YOLOv8和DETR系列，可以无缝转换为行业标准格式，如COCO-JSON、VOC-XML和YOLOv5-TXT】'X-AnyLabeling - Effortless data labeling with AI support from Segment Anything and other awesome models.' CVHub GitHub: github.com/CVHub520/X-AnyLabeling
【Autolabel：自动标注、清洗和丰富文本数据集的Python库，为机器学习提供大规模、干净、多样化的标注数据，高精度、低成本、快速启动】'Autolabel - Label, clean and enrich text datasets with Large Language Models (LLMs)' refuel-ai GitHub: github.com/refuel-ai/autolabel
【DLTA-AI：下一代标注工具，整合了计算机视觉最先进模型的强大功能，让标注图像数据集变得比以往更容易，提供无缝的体验和直观的工作流程】'DLTA-AI - Data Labeling, Tracking and Annotation with AI' Usama Ahmed GitHub: github.com/0ssamaak0/DLTA-AI