Update README.md

README.md

@@ -11,8 +11,4 @@ For examples in this repository, we use Arm Virtual Hardware with Corstone platf
 PaddlePaddle (PArallel Distributed Deep LEarning) is a simple, efficient and extensible deep learning framework developed by Baidu, Inc. As the first independent R&D deep learning platform in China, it has been officially open-sourced to professional communities since 2016. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well as service platforms. For more details, please refer to [PaddlePaddle Github](https://github.com/PaddlePaddle/Paddle) for details.
 
 ## Example
-|  Example  |  Model  |  Hardware  |  Project overview  |
-|  ----  | ----  | ---- |---- |
-|[PaddleOCR for AVH](./PaddleOCR%20example%20for%20AVH)|[PP-OCRv3 English recognition model](https://paddleocr.bj.bcebos.com/tvm/ocr_en.tar)| AVH [Corstone-300](https://www.arm.com/products/silicon-ip-subsystems/corstone-300) platform| This project contains an example of how to run a PaddleOCR text recognition model on bare metal [Cortex(R)-M55](https://www.arm.com/products/silicon-ip-cpu/cortex-m/cortex-m55) CPU using Arm Virtual Hardware Corstone-300 platform.
-|[PaddleOCR for AVH](./PaddleOCR%20example%20for%20AVH)|[PP-OCRv3 text angle classification model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar)| AVH Corstone-300 platform| This project contains an example of how to run a PaddleOCR text angle classification model on bare metal Cortex(R)-M55 CPU using Arm Virtual Hardware Corstone-300 platform.
-|[PaddleDetection for AVH](./PaddleDetection%20example%20for%20AVH)|[PP-PicoDet object detection model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/picodet_s_320_coco_lcnet_no_nms.tar)|AVH Corstone-300 platform| This project contains an example of how to run a PP-PicoDet model on bare metal Cortex(R)-M55 CPU using Arm Virtual Hardware Corstone-300 platform.
+We provide 4 use cases in this repository ([ocr](./ocr), [object_classification](./object_classification), [object_detection](./object_detection), [object_segmentation](./object_segmentation)) with various models supported from corresponding Paddle Toolkit.