Update README.md

README.md

@@ -18,15 +18,39 @@ tags:
   - finance
 ---
 
+# Synthetic Credit Card Dataset
 
-Our V0.3 model is trained using synthetic data generated with Blender, Python, and other open-source tools. It
-accurately detects traditional credit card designs in images, identifying the front and back faces, text lines, chip,
-and magnetic band.
+## Overview
 
-The model, along with the dataset and tools used to create it, are freely available for download under the Apache
-License Version 2.0. You are welcome to modify and distribute these components as needed. We encourage you to contribute
-back any meaningful and useful changes.
+This repository contains a synthetic dataset of credit card images designed for training and validating machine learning models, specifically using the YOLOv8 object detection model. The dataset consists of 3000 items for training and 1000 items for validation and testing. Each image is 800x800 in JPG format and is accompanied by the necessary annotation files for YOLOv8 and Hugging Face.
 
-We kindly request that you notify us if you plan to use these components or modified versions in a product, research
-project, or any other initiative that generates value. This helps us maintain a record of users and acknowledge their
-contributions on our website.
+## Dataset Features
+
+- **Total Items**: 5000
+  - **Training**: 3000 items
+  - **Validation**: 1000 items
+  - **Testing**: 1000 items
+- **Image Format**: JPG
+- **Image Size**: 800x800 pixels
+- **Annotations**: Provided for YOLOv8 and Hugging Face in JSONL format
+
+## Annotations
+
+### YOLOv8
+The annotation files for YOLOv8 are generated as per the [YOLOv8 dataset requirements](https://docs.ultralytics.com/datasets/detect/). Each image has a corresponding `.txt` file with the bounding box coordinates.
+
+### Hugging Face
+The annotation files for Hugging Face are generated in JSONL format as per the [Hugging Face image dataset documentation](https://huggingface.co/docs/datasets/en/image_dataset).
+
+
+## License
+
+This dataset is licensed under the Apache License Version 2.0.
+
+## Contributions
+
+We welcome contributions from the community. If you plan to use this dataset or modified versions in a product, research project, or any other initiative that adds value, please notify us. This helps us maintain a record of users and allows us to acknowledge your contributions on our website.
+
+## Contact
+
+For any inquiries or further information, please contact us at [[email protected]](mailto:[email protected]).