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亚洲装饰:亚洲装饰的数据集用于图像分类和文化识别

Md Darun Nayeem¹, Saima Zannat Sraboni¹, Shejuti Shithi Biswas¹

¹Bangladesh University of Business and Technology, Mirpur, Dhaka, 1216, Bangladesh.

|November 19, 2025

概括

一个新的1088张图像数据集捕捉了传统的亚洲装饰品,如手和项链. 这一计算机视觉数据集有助于开发人工智能识别具有文化意义的珠宝,支持时尚技术和遗产保护.

科学领域:

计算机视觉和人工智能的人工智能
文化遗产研究文化遗产研究
时尚技术时尚技术时尚技术

背景情况:

多样化,文化相关的数据集的有限可用性,用于首饰识别.
需要强大的图像数据集来训练人工智能模型进行细粒度的种族配件分类.
现有的数据集往往缺乏照明,视角和背景背景的现实世界的变化.

研究的目的:

为了呈现一个精心策划的数据集1088高分辨率图像的六种传统的亚洲装饰品.
支持计算机视觉和人工智能技术的发展,用于分类和识别具有文化意义的珠宝.
为研究细粒度图像分类,物体检测和文化文物识别提供有价值的资源.

主要方法:

收藏了1088张原创的高分辨率手,戒指,耳环,Tikka,项链和Payel的图像.
使用智能手机摄像机在自然光照下在现实环境 (当地市场,偏远地区) 中捕捉图像.
确保照明角度,视角和装饰物定位的变化,以确保数据集的稳定性.

主要成果:

一个结构化的数据集,分为六个不同的类别 (手,戒指,耳环,Tikka,项链,Payel).
数据集包括训练和测试子集,促进机器学习模型的开发.
图像强调设计和背景背景的多样性,反映了来自南亚的种族配饰.

结论:

该数据集填补了装饰品相关数据集的空白,提供了文化背景和图像多样性.
允许训练深度学习模型用于装饰品识别和开发实时识别系统.
支持开放的研究,可复制性和人工智能的发展,用于时尚技术,文化保护和智能零售.

关键词:

计算机视觉计算机视觉计算机视觉文化遗产文化遗产文化遗产深度学习是一种深度学习.细粒度的分类细粒度的分类.珠宝制品珠宝制品珠宝制品对象检测检测对象检测对象检测视觉数据集是一个视觉数据集.

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