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PaddleCV/README.md
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图像分类是根据图像的语义信息对不同类别图像进行区分，是计算机视觉中重要的基础问题，是物体检测、图像分割、物体跟踪、行为分析、人脸识别等其他高层视觉任务的基础，在许多领域都有着广泛的应用。如：安防领域的人脸识别和智能视频分析等，交通领域的交通场景识别，互联网领域基于内容的图像检索和相册自动归类，医学领域的图像识别等。
在深度学习时代，图像分类的准确率大幅度提升，在图像分类任务中，我们向大家介绍了如何在经典的数据集ImageNet上，训练常用的模型，包括AlexNet、VGG系列、ResNet系列、ResNeXt系列、Inception系列、MobileNet系列、SENet系列、DarkNet、SqueezeNet、ShuffleNet系列等模型，也开源了[训练的模型](https://github.com/PaddlePaddle/models/blob/release/1.7/PaddleCV/image_classification/README.md#已有模型及其性能) 方便用户下载使用。同时提供了能够将Caffe模型转换为PaddlePaddle
Fluid模型配置和参数文件的工具。
- [AlexNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [SqueezeNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [VGG Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [GoogleNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [ResNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [ResNeXt Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [ShuffleNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [Inception Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [MobileNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [SENet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [DarkNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [ResNeXt101_wsl Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models)
- [Caffe模型转换为Paddle Fluid配置和模型文件工具](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/caffe2fluid)
在深度学习时代，图像分类的准确率大幅度提升，在图像分类任务中，我们向大家介绍了如何在经典的数据集ImageNet上，训练常用的模型，包括AlexNet、VGG、ResNet、ResNeXt、Inception、MobileNet、SENet、DarkNet、SqueezeNet、ShuffleNet、Res2Net、DenseNet、DPN、EfficientNet、HRNet、AutoDL、ResNet-ACNet等系列模型，也开源了共105个[预训练模型](https://github.com/PaddlePaddle/models/blob/develop/PaddleCV/image_classification/README.md#已发布模型及其性能)方便用户下载使用。
- [AlexNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [SqueezeNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [VGG Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [GoogleNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [ResNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [ResNeXt Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [ShuffleNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [Inception Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [MobileNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [SENet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [DarkNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [ResNeXt101_wsl Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [Res2Net Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [DPN Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [EfficientNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [HRNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [AutoDL Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [ResNet-ACNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
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