# awesome-data-labeling

A curated list of awesome data labeling tools

#### Images

* [cvcat](https://github.com/opencv/cvat) - Powerful and efficient Computer Vision Annotion Tool
* [VoTT](https://github.com/microsoft/VoTT) - An open source annotation and labeling tool for image and video assets
* [imglab](https://github.com/NaturalIntelligence/imglab) - A web based tool to label images for objects that can be used to train dlib or other object detectors
* [Yolo_mark](https://github.com/AlexeyAB/Yolo_mark) - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
* [PixelAnnotationTool](https://github.com/abreheret/PixelAnnotationTool) - Software that allows you to manually and quickly annotate images in directories
* [OpenLabeling](https://github.com/Cartucho/OpenLabeling) - Label images and video for Computer Vision applications
* [imagetagger](https://github.com/bit-bots/imagetagger) - An open source online platform for collaborative image labeling
* [Alturos.ImageAnnotation](https://github.com/AlturosDestinations/Alturos.ImageAnnotation) - A collaborative tool for labeling image data
* [deeplabel](https://github.com/jveitchmichaelis/deeplabel) - A cross-platform image annotation tool for machine learning
* [MedTagger](https://github.com/medtagger/MedTagger) - A collaborative framework for annotating medical datasets using crowdsourcing.
* [Labelbox](https://github.com/Labelbox/Labelbox) - Labelbox is the fastest way to annotate data to build and ship computer vision applications
* [turktool](https://github.com/jaxony/turktool) - A modern React app for scalable bounding box annotation of images
* [Pixie](https://github.com/buni-rock/Pixie) - Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling
* [OpenLabeler](https://github.com/kinhong/OpenLabeler) - OpenLabeler is an open source desktop application for annotating objects for AI appplications

#### Text

* [ML-Annotate](https://github.com/planbrothers/ml-annotate) - Label text data for machine learning purposes. ML-Annotate supports binary, multi-label and multi-class labeling.
* [TagEditor](https://github.com/d5555/TagEditor) - Annotation tool for spaCy

#### Audio

* [EchoML](https://github.com/ritazh/EchoML) - Play, visualize, and annotate your audio files

#### Video 

* [UltimateLabeling](https://github.com/alexandre01/UltimateLabeling) - A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

#### Time Series

* [Curve](https://github.com/baidu/Curve) - Curve is an open-source tool to help label anomalies on time-series data
* [TagAnomaly](https://github.com/Microsoft/TagAnomaly) - Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

#### 3D

#### Lidar

[semantic-segmentation-editor](https://github.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor) - Web labelling tool for camera and LIDAR data

#### MultiDomain