English(EN) Reading Legends on Ancient Coins: An Object Detection Approach for Character Recognition on a Novel Roman Republican Dataset

YOLOv7-Large 在古钱币字符识别方面实现了 90.4% 的 mAP50

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-29 04:00

研究人员开发了一种使用 YOLO 变体对古罗马共和国钱币进行字符识别的深度学习方法。他们创建了一个包含 5,654 枚钱币图像和 38,808 个标注（用于 21 个字符标签）的新数据集。YOLOv7-Large 表现最佳，mAP50 达到 90.4%，优于其他 YOLO 版本。 AI

影响展示了用于专业历史数据分析的高级物体检测能力。

排序理由学术论文，详细介绍了用于历史文物分析的新型数据集和物体检测方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Hafeez Anwar · 2026-07-29 04:00

古钱币上的铭文识别：一种针对新型罗马共和数据集的字符识别目标检测方法

arXiv:2607.25455v1 Announce Type: new Abstract: When it comes to the proper classification of ancient coins with respect to their time and issuer, the textual inscriptions on these coins, also known as legends, are of paramount importance. These legends consist of alphabets or ch…