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@ -33,8 +33,8 @@ For the introduction of PP-LCNet, please refer to [paper](https://arxiv.org/pdf/
## Features ## Features
PaddleClas release PP-HGNet、PP-LCNetv2、 PP-LCNet and **S**imple **S**emi-supervised **L**abel **D**istillation algorithms, and support plenty of PaddleClas release PP-HGNet、PP-LCNetv2、 PP-LCNet and **S**imple **S**emi-supervised **L**abel **D**istillation algorithms, and support plenty of
image classification and image recognition algorithms. image classification and image recognition algorithms.
Based on th algorithms above, PaddleClas release PP-ShiTu image recognition system and [**P**ractical **U**ltra **L**ight-weight image **C**lassification solutions](docs/en/PULC/PULC_quickstart_en.md). Based on th algorithms above, PaddleClas release PP-ShiTu image recognition system and [**P**ractical **U**ltra **L**ight-weight image **C**lassification solutions](docs/en/PULC/PULC_quickstart_en.md).
@ -57,6 +57,9 @@ Quick experience of **P**ractical **U**ltra **L**ight-weight image **C**lassific
- [Quick Installation](./docs/en/tutorials/install_en.md) - [Quick Installation](./docs/en/tutorials/install_en.md)
- [Practical Ultra Light-weight image Classification solutions](./docs/en/PULC/PULC_quickstart_en.md) - [Practical Ultra Light-weight image Classification solutions](./docs/en/PULC/PULC_quickstart_en.md)
- [PULC Quick Start](docs/en/PULC/PULC_quickstart_en.md)
- [PULC Model Zoo](docs/en/PULC/PULC_model_list_en.md)
- [PULC Classification Model of Someone or Nobody](docs/en/PULC/PULC_person_exists_en.md)
- [Quick Start of Recognition](./docs/en/tutorials/quick_start_recognition_en.md) - [Quick Start of Recognition](./docs/en/tutorials/quick_start_recognition_en.md)
- [Introduction to Image Recognition Systems](#Introduction_to_Image_Recognition_Systems) - [Introduction to Image Recognition Systems](#Introduction_to_Image_Recognition_Systems)
- [Demo images](#Demo_images) - [Demo images](#Demo_images)