This article explores different data annotation tools such as Doccano, CVAT with Docker, LabelImg, and label-studio that can be used for text, video/image, images, audio, video, and transcription respectively. Installation is available through pip or GitHub.

text annotation tool:

https://github.com/doccano/doccano

sqlite 3 backend:

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pip3 install doccano

video/image annotation tool, needs docker, with online demo:

https://github.com/openvinotoolkit/cvat

image labeling:

https://github.com/heartexlabs/labelImg

with audio video support

https://github.com/heartexlabs/label-studio

with audio transcription support

https://github.com/UniversalDataTool/universal-data-tool

image and audio

https://github.com/Cartucho/OpenLabeling

specialized for yolo bounding boxes

https://github.com/developer0hye/Yolo_Label

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