Update README.md

README.md

@@ -57,7 +57,7 @@ We introduce PaddleOCR-VL-1.6, an upgraded compact document parsing model built
 
 **🚀 New SOTA Accuracy**: OmniDocBench v1.6 achieves **96.33%**, setting new state-of-the-art records on OmniDocBench v1.5 and Real5-OmniDocBench as well. It delivers comprehensive leading performance across text, formula, and table recognition, surpassing both open-source and closed-source solutions.
 
-**⚡ Fully Upgraded Capabilities**: Significant improvements in table, ancient document, and rare character recognition, along with notable enhancements in seal/stamp detection, text spotting, chart recognition, and more diverse scenarios.
+**⚡ Fully Upgraded Capabilities**: Significant improvements in table, Chinese ancient document, and Chinese rare character recognition, along with notable enhancements in seal/stamp detection, text spotting, chart recognition, and more diverse scenarios.
 
 **🔄 Seamless Migration**: The model architecture is **fully compatible with PaddleOCR-VL-1.5** — zero adaptation cost, plug-and-play replacement.
 
@@ -274,57 +274,30 @@ model = AutoModelForImageTextToText.from_pretrained(model_path, torch_dtype=torc
 > - Real5-OmniDocBench is a brand-new benchmark oriented toward real-world scenarios, which we constructed based on the OmniDocBench v1.5 dataset. The dataset comprises five distinct scenarios: Scanning, Warping, Screen-photography, Illumination, and Skew. For further details, please refer to [Real5-OmniDocBench](https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench).
 
 
-## Visualization
+<!-- ## Visualization
 
 
 #### Table Recognition
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/light.jpg" width="800"/>
-</div>
 
 
 #### Chart Parsing
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/skew.jpg" width="800"/>
-</div>
-
 
 #### Formula Recognition
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/screen.jpg" width="800"/>
-</div>
-
 
 #### Chinese Ancient Document Recognition
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/scaning.jpg" width="800"/>
-</div>
 
 #### Chinese Rare Character Recognition
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/curving.jpg" width="800"/>
-</div>
-
 
 ### Seal Recognition
 
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/seal.jpg" width="800"/>
-</div>
-
-
-### Real-world Low-Quality Document Parsing
-
+### Real-world Low-Quality Document Parsing -->
 
-<div align="center">
-<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/paddleocr_vl_1_5/spotting.jpg" width="800"/>
-</div>
 
 ## Acknowledgments