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OBC306: A Large-Scale Oracle Bone Character Recognition Dataset
Shuangping Huang, Haobin Wang, Yongge Liu et al., 2019.
What it's used for here
ICDAR 2019: 309,551 scanned character images in 306 classes cropped from rubbings, distributed by the Anyang Normal University lab. The largest scanned-glyph recognition set.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
aminer.org · fetched 31 Oct 2026
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Cited by on this site 2 records
DAT
The unread oracle bone characters
MYSThe mystery article
Cite it
Shuangping Huang, Haobin Wang, Yongge Liu, Xiaosong Shi, & Lianwen Jin (2019). OBC306: A Large-Scale Oracle Bone Character Recognition Dataset. https://aminer.org/pub/5e3be4983a55ac2a0b37e9c9/obc-a-large-scale-oracle-bone-character-recognition-dataset
@inproceedings{huang2019obc306,
author = {Shuangping Huang} and {Haobin Wang} and {Yongge Liu} and {Xiaosong Shi} and {Lianwen Jin},
title = {OBC306: A Large-Scale Oracle Bone Character Recognition Dataset},
year = {2019},
url = {https://aminer.org/pub/5e3be4983a55ac2a0b37e9c9/obc-a-large-scale-oracle-bone-character-recognition-dataset}
}TY - GEN TI - OBC306: A Large-Scale Oracle Bone Character Recognition Dataset AU - Shuangping Huang AU - Haobin Wang AU - Yongge Liu AU - Xiaosong Shi AU - Lianwen Jin PY - 2019 UR - https://aminer.org/pub/5e3be4983a55ac2a0b37e9c9/obc-a-large-scale-oracle-bone-character-recognition-dataset ER -
et al.. “OBC306: A Large-Scale Oracle Bone Character Recognition Dataset.” 2019.