中国古代瓷器多模态特征向量通用数据

1. 通用型AI鉴定模型训练：作为基础训练集，用以开发能够对多个朝代瓷器进行断代、窑口识别、风格分类的通用型人工智能模型。 2. 跨品类艺术品相似度检索：支持在整个数据库范围内，进行跨越朝代和器物类别的“以图搜图”或“以文搜图”，为用户提供更广阔的联想和比对空间。 3. 艺术品大数据分析：为研究中国古代瓷器在美学、工艺、文化等方面的宏观演变规律提供量化数据支持，是进行艺术领域大数据分析的基石。1. Training of General AI Identification Models: As the basic training dataset, it is used to develop general artificial intelligence models capable of porcelain dating, kiln site identification and style classification across multiple dynasties. 2. Cross-Category Artwork Similarity Retrieval: It supports image-to-image and text-to-image searches across dynasties and artifact categories within the entire database, providing users with a broader scope for association and comparison. 3. Artwork Big Data Analysis: It offers quantitative data support for researching the macro evolutionary laws of ancient Chinese porcelain in terms of aesthetics, craftsmanship and culture, and acts as the cornerstone of big data analysis in the art field.

搜集汇总

背景与挑战

背景概述

该数据集是中国古代瓷器的多模态特征向量集合，包含宋、清等朝代的瓷器图像与文本信息融合生成的4048维特征向量。数据集采用CSV格式存储，通过ResNet50和TF-IDF算法分别提取视觉与文本特征并拼接而成，主要用于通用型AI鉴定模型训练和跨品类艺术品相似度检索。