Awesome-Mirrors
/
awesome-data-labeling
mirror of https://github.com/heartexlabs/awesome-data-labeling.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update README.md 

Initial list
This commit is contained in:
Mikhail Malyuk 2019-06-18 19:28:58 -07:00 committed by GitHub
parent 48619317cb
commit d56179895d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 39 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

39
README.md
View File

@ -1,2 +1,41 @@
# 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
[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
#### 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.
#### 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
#### MultiDomain