Merge pull request #4 from epireve/master

Added three new tools
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Michael Malyuk 2019-11-25 12:50:15 +03:00 committed by GitHub
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@ -23,6 +23,7 @@ A curated list of awesome data labeling tools
* [Anno-Mage](https://github.com/virajmavani/semi-auto-image-annotation-tool) - A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
* [CATMAID](https://github.com/catmaid/CATMAID) - Collaborative Annotation Toolkit for Massive Amounts of Image Data
* [make-sense](https://github.com/SkalskiP/make-sense) - makesense.ai is a free to use online tool for labelling photos
* [LOST](https://github.com/l3p-cv/lost) - Design your own smart Image Annotation process in a web-based environment
#### Text
* [YEDDA](https://github.com/jiesutd/YEDDA) - A Lightweight Collaborative Text Span Annotation Tool (Chunking, NER, etc.). ACL best demo nomination.
@ -35,6 +36,8 @@ A curated list of awesome data labeling tools
* [EchoML](https://github.com/ritazh/EchoML) - Play, visualize, and annotate your audio files
* [audio-annotator](https://github.com/CrowdCurio/audio-annotator) - A JavaScript interface for annotating and labeling audio files.
* [audio-labeler](https://github.com/hipstas/audio-labeler) - An in-browser app for labeling audio clips at random, using Docker and Flask.
* [wavesurfer.js](https://github.com/katspaugh/wavesurfer.js) - Simple annotations tool, check the example.
* [peak.js](https://github.com/bbc/peaks.js) - Browser-based audio waveform visualisation and UI component for interacting with audio waveforms, developed by BBC UK.
#### Video
@ -59,3 +62,4 @@ A curated list of awesome data labeling tools
#### MultiDomain
* [Label Studio](https://github.com/heartexlabs/label-studio) - Label Studio is a configurable data annotation tool that works with different data types
* [Dataturks](https://dataturks.com/) - Dataturks support E2E tagging of data items like video, images (classification, segmentation and labelling) and text (full length document annotations for PDF, Doc, Text etc) for ML projects.