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Disagreement based metrics for the processing and evaluation of crowdsourced annotations

Project description

CrowdTruth is an approach to machine-human computing for collecting annotation data on text, images and videos. The approach is focussed specifically on collecting annotation data by capturing and interpreting inter-annotator disagreement.

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Files for CrowdTruth, version 2.1
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Filename, size crowdtruth-2.1-py2-none-any.whl (16.8 kB) File type Wheel Python version py2 Upload date Hashes View hashes
Filename, size crowdtruth-2.1.tar.gz (16.3 kB) File type Source Python version None Upload date Hashes View hashes

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