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Deit Base Patch16 224 FV Finetuned Memes
基于facebook/deit-base-patch16-224微调的表情包分类模型，在imagefolder数据集上达到84.85%的准确率
Downloads 11
Release Time : 10/21/2022
Model Overview
该模型是基于Vision Transformer架构的图像分类模型，专门针对表情包识别任务进行了微调，适用于社交媒体内容分析和表情包分类等场景
Model Features
高精度表情包识别
在测试集上达到84.85%的准确率，能够有效识别各类表情包
基于Vision Transformer
采用先进的Transformer架构进行图像分类，具有强大的特征提取能力
轻量级微调
在预训练模型基础上进行高效微调，节省训练资源
Model Capabilities
图像分类
表情包识别
社交媒体内容分析
Use Cases
社交媒体分析
表情包自动分类
自动识别和分类社交媒体中的表情包内容
准确率84.85%
内容审核
不当内容识别
识别可能包含不当内容的表情包
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