Update the README file

README.md

@@ -28,4 +28,74 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+license: apache-2.0
+task_categories:
+- image-classification
+- object-detection
+tags:
+- signature
+- document
+pretty_name: Signature Detection and Verification
+size_categories:
+- 10K<n<100K
 ---
+
+# Signature Detection and Verification Dataset
+
+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)
+
+## 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)
+
+- 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**.
+- The model then classifies the signature as either Genuine or Forged.
+
+
+## Dataset Summary
+
+| Split | Samples |
+|-------|---------|
+| Train | 23,206  |
+| Test  | 6,195   |
+| **Total** | **29,401** |
+
+This dataset supports two key tasks:
+- **Detection:** Identifying the bounding boxes of signatures in scanned document images.
+- **Verification:** Comparing a signature within the document to a reference (sample) signature to determine whether it's **genuine** (`label = 0`) or **forged** (`label = 1`).
+
+## Features
+
+Each sample in the dataset contains the following fields:
+
+- `document` *(Image)*: The full document image that contains one or more handwritten signatures.
+- `bbox` *(List of Bounding Boxes)*: The coordinates of the signature(s) detected in the `document`. Format: `[x_min, y_min, x_max, y_max]`.
+- `to_verify_signature` *(Image)*: A cropped signature from the document image that needs to be verified.
+- `sample_signature` *(Image)*: A standard reference signature used for comparison.
+- `label` *(int)*: Indicates if the `to_verify_signature` is **genuine (0)** or **forged (1)** when compared to the `sample_signature`.
+
+## Data Sources & Construction
+
+This dataset is **constructed by combining and modifying two publicly available datasets**:
+
+- **Signature Images** were sourced from the [Kaggle Signature Verification Dataset](https://www.kaggle.com/datasets/robinreni/signature-verification-dataset), which provides genuine and forged signatures from multiple individuals for verification tasks.
+
+- **Document Images with Signature Bounding Boxes** were taken from the [Signature Detection Dataset by NanoNets](https://github.com/NanoNets/SignatureDetectionDataset), which contains scanned documents with annotated signature regions.
+
+### How This Dataset Was Created
+
+To create a seamless, unified pipeline dataset for **detection + verification**, the following modifications were made:
+
+- **Synthetic Placement**: Signature images were programmatically inserted into real documents at their correct signing regions (e.g., bottom of the page or designated signature lines).
+- **Blending with Background**: Signatures were rendered with varying opacities, filters, and transformations to match the document background, mimicking real-world signature scans.
+- **Labeling and BBoxes**: The new locations of the inserted signatures were used to generate accurate bounding boxes for detection tasks.
+- **Pairing for Verification**: Each inserted signature (`to_verify_signature`) was paired with a reference (`sample_signature`) and assigned a label: `0` for genuine or `1` for forged.
+
+This process enables researchers to train and evaluate models for **both signature localization and signature verification** in a realistic, document-centric setting.
+
+