AI Assisted Data Labeling with Interactive Auto Label
Abstract
We demonstrate an AI assisted data labeling system which applies unsupervised and semi-supervised machine learning to facilitate accurate and efficient labeling of large data sets. Our system (1) applies representative data sampling and active learning in order to seed and maintain a semi-supervised learner that assists the human labeler (2) provides visual labeling assistance and optimizes labeling mechanics using predicted labels (3) seamlessly updates and learns from ongoing human labeling activity (4) captures and presents metrics that indicate the quality of labeling assistance, and (5) provides an interactive auto labeling interface to group, review and apply predicted labels in a scalable manner.
Cite
Text
Desmond et al. "AI Assisted Data Labeling with Interactive Auto Label." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21714Markdown
[Desmond et al. "AI Assisted Data Labeling with Interactive Auto Label." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/desmond2022aaai-ai/) doi:10.1609/AAAI.V36I11.21714BibTeX
@inproceedings{desmond2022aaai-ai,
title = {{AI Assisted Data Labeling with Interactive Auto Label}},
author = {Desmond, Michael and Brachman, Michelle and Duesterwald, Evelyn and Dugan, Casey and Joshi, Narendra Nath and Pan, Qian and Spina, Carolina},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2022},
pages = {13161-13163},
doi = {10.1609/AAAI.V36I11.21714},
url = {https://mlanthology.org/aaai/2022/desmond2022aaai-ai/}
}