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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
crowdtruth-2.1.tar.gz
(16.3 kB
view hashes)
Built Distribution
crowdtruth-2.1-py2-none-any.whl
(16.8 kB
view hashes)