@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00208670,
 author = {カラーヌワット, タリン and 北本, 朝展 and Tarin, Clanuwat  Asanobu Kitamoto},
 book = {じんもんこん2020論文集},
 month = {Dec},
 note = {人文学オープンデータ共同利用センター（CODH）と国文学研究資料館が2016年に日本古典籍くずし字データセットを公開した後，くずし字認識研究は大きく進展した．そして2019年のKaggleくずし字認識コンペティションを経て，CODHはKuroNetくずし字認識サービスを公開した．本論文はこうした流れを振り返り，くずし字認識と物体検出アルゴリズムの関係，KuroNetの進化，くずし字認識のサービス化，Kaggleコンペの教訓，くずし字認識スマホアプリの開発，くずし字認識研究の課題とデータセットの拡大など，くずし字研究の多岐にわたる展開をまとめる．, Kuzushiji recognition research has been progressing recently after the release of Kuzushiji dataset from the Center for Open Data in the Humanities (CODH) in 2016. In 2019, CODH also released KuroNet Kuzushiji Recognition service after Kaggle Kuzushiji Recognition competition. In this paper, we talk about the benefit of using object detection algorithm for Kuzushiji recognition. We also explain about the development of KuroNet, Kuzushiji recognition system and the online Kuzushiji recognition service. We also talk about what we learned from Kaggle competition and discuss about the future work for Kuzushiji recognition research including on-device Kuzushiji recognition application with smartphone and how to expand the Kuzushiji dataset for machine learning.},
 pages = {3--10},
 publisher = {情報処理学会},
 title = {くずし字認識の進化とサービス化の展開},
 volume = {2020},
 year = {2020}
}