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Cifar 10 Vgg Pretrained
C
Cifar 10 Vgg Pretrained
Developed by amehta633
基于PyTorch实现的图像分类模型，能够识别多种常见物体类别
Downloads 22
Release Time : 6/8/2022
Model Overview
这是一个使用PyTorch框架构建的卷积神经网络，用于图像分类任务。模型经过大规模图像数据集训练，能够准确识别图像中的主要物体类别。
Model Features
高准确率
在标准测试集上达到较高分类准确率
PyTorch实现
使用PyTorch框架构建，便于修改和扩展
预训练权重
提供预训练模型权重，支持迁移学习
Model Capabilities
图像分类
物体识别
特征提取
Use Cases
计算机视觉应用
产品分类
用于电商平台自动分类上传的产品图片
可减少人工分类工作量，提高分类一致性
内容审核
识别用户上传图片中的违规内容
帮助自动过滤不适当内容
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