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Popular Anime Character Faces Dataset

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/popular-anime-faces-dataset
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资源简介:
AnimeFaces-50 is a curated and standardized dataset comprising 1,000 high-quality anime face images, each with a spatial resolution of 100 \u00d7 100 pixels. The dataset spans 50 distinct characters, with 20 samples per class, enabling balanced class distribution and controlled experimental design. The dataset further incorporates a unified directory structure and well-defined metadata to support reproducibility and ease of integration into machine learning pipelines. Designed to advance research in computer vision, machine learning, and deep learning, AnimeFaces-50 serves as a valuable benchmark for tasks such as stylized character identification, anime face recognition, generative modeling, and cross-domain representation learning. By providing a clean, balanced, and well-documented resource, this dataset aims to facilitate both academic and industrial research on recognition algorithms involving stylized or non-photorealistic visual domains.
提供机构:
Shivam Patel; Maulik Sonagara; Meshv Patel
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