Ai训练集标注工具

AI
ML
supervised learning
dataset creation
model training
pyjom
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.
Published

May 24, 2022

text annotation tool:

https://github.com/doccano/doccano

sqlite 3 backend:

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