VTuber表情包数据集

本数据集为面向多类别识别任务构建的 VTuber 聊天表情包数据集，聚焦于以二次元虚拟形象为核心的 VTuber 相关图像内容，涵盖其在直播互动、粉丝社群与弹幕文化中广泛使用的聊天表情包素材。数据集按照不同 VTuber 个体进行精细化分类标注，旨在支持图像分类、跨模态检索、身份识别与视觉特征学习等研究任务。数据来源经过统一整理与去重处理，保留表情包的典型视觉特征，如角色立绘、夸张表情、文本叠加与风格化设计元素，并在标注层面确保类别边界清晰与语义一致性。该数据集可用于训练与评估面向虚拟主播身份识别的计算机视觉模型，同时也为二次元视觉文化研究、数字角色传播分析以及多模态情感理解等方向提供基础数据支持。

This dataset is a VTuber chat emote dataset constructed for multi-class recognition tasks. Focusing on VTuber-related image content centered around two-dimensional virtual avatars, it covers chat emote materials widely used in live streaming interactions, fan communities and danmaku culture. The dataset is finely classified and labeled according to individual VTubers, aiming to support research tasks including image classification, cross-modal retrieval, identity recognition and visual feature learning. The data sources have been uniformly organized and deduplicated, retaining the typical visual features of emotes such as character standing illustrations, exaggerated expressions, text overlays and stylized design elements, while ensuring clear category boundaries and semantic consistency at the annotation level. This dataset can be used to train and evaluate computer vision models for virtual streamer identity recognition, and also provides fundamental data support for research fields including two-dimensional visual culture studies, digital character communication analysis and multimodal emotion understanding.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于动漫风格虚拟形象的VTuber聊天表情包数据集，用于多类别识别任务。它包含来自直播互动、粉丝社区和弹幕文化的表情素材，按VTuber个体进行标注分类，支持图像分类、跨模态检索和身份识别等研究。数据经过统一处理和去重，保留了表情的典型视觉特征，确保类别边界清晰和语义一致性。