未验证 提交 ac9a35f5 编写于 作者: R ruri 提交者: GitHub

fix CV README, image classification part (#3307)

上级 c617a1a1
...@@ -6,17 +6,22 @@ PaddleCV ...@@ -6,17 +6,22 @@ PaddleCV
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。 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、GoogLeNet、ResNet、Inception-v4、MobileNet、DPN(Dual Path Network)、SE-ResNeXt模型,也开源了[训练的模型](https://github.com/PaddlePaddle/models/blob/develop/PaddleCV/image_classification/README_cn.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 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/develop/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。 Fluid模型配置和参数文件的工具。
- [AlexNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) - [AlexNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [VGG](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) - [GoogleNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [Residual Network](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) - [ResNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [Inception-v4](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) - [ResNeXt Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [MobileNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) - [ShuffleNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [Dual Path Network](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) - [DenseNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models)
- [SE-ResNeXt](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)
- [Caffe模型转换为Paddle Fluid配置和模型文件工具](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/caffe2fluid) - [Caffe模型转换为Paddle Fluid配置和模型文件工具](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/caffe2fluid)
目标检测 目标检测
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