Update README.md

README.md

@@ -44,13 +44,17 @@ size_categories:
 
 A comprehensive dataset designed for building and evaluating **end-to-end signature analysis pipelines**, including **signature detection** in document images and **signature verification** using genuine/forged pair classification.
 
-**Developed by**:[@Mels22](https://huggingface.co/Mels22) and [@JoeCao](https://huggingface.co/JoeCao)
+**Developed by**: [@Mels22](https://huggingface.co/Mels22) and [@JoeCao](https://huggingface.co/JoeCao)
 
 ## Pipeline Overview
 
 This dataset supports a complete **signature detection and verification pipeline**. The process involves identifying the signature in a document and comparing it with a reference to determine if it is genuine or forged.
 
-![Detection and Verification Pipeline](pipeline.png)
+<div style="text-align: center;">
+    <img src="pipeline.png" alt="Detection and Verification Pipeline" style="display: block; margin: auto;">
+    <div style="font-style: italic;">Figure 1: Detection and Verification Pipeline.</div>
+</div>
+<br>
 
 - The **Detection Model** locates the signature in the document.
 - The cropped signature (`to_verify_signature`) is passed along with a sample signature (`sample_signature`) to the **Verification Model**.
@@ -99,3 +103,16 @@ To create a seamless, unified pipeline dataset for **detection + verification**,
 This process enables researchers to train and evaluate models for **both signature localization and signature verification** in a realistic, document-centric setting.
 
 
+## Sample Code
+```python
+from datasets import load_dataset
+data = load_dataset("Mels22/SigDetectVerifyFlow")
+
+for i, example in enumerate(data['train']):
+    example['document'].show()
+    example['to_verify_signature'].show()
+    example['sample_signature'].show()
+    print(f"Bbox: {example['bbox']}")
+    print(f"Label: {example['label']}")
+    break
+```