Update README.md

README.md

@@ -1,17 +1,31 @@
-project:
-  name: "Oriented-Barcode-CenterNet"
-  tagline: "Oriented Barcode Detection with Centernet"
-  license: "MIT"
-  # If you want to store image URLs as data, you can list them
-  sample_image_urls:
-    - "https://github.com/user-attachments/assets/963dec6d-c279-4542-b42f-accda6f3b757"
-    - "https://github.com/user-attachments/assets/d51f2c00-6102-468e-c9c76-55d96f57bd1d"
-  related_references:
-    - name: "CenterNet (Original)"
-      url: "https://github.com/xingyizhou/CenterNet"
-    - name: "CenterNet-HarDNet"
-      url: "https://github.com/PingoLH/CenterNet-HarDNet"
-    - name: "Cars Tracking BEV"
-      url: "https://github.com/antoinekeller/cars_tracking_bev"
-    - name: "CenterNet PyTorch (Bubbliiiing)"
-      url: "https://github.com/bubbliiiing/centernet-pytorch"
+---
+tags:
+- object-detection
+- barcode-detection
+license: mit
+---
+# Oriented-Barcode-CenterNet
+
+Oriented Barcode Detection with Centernet
+
+This model, `Oriented-Barcode-CenterNet`, is designed for detecting oriented barcodes using a CenterNet-based approach.
+
+## Model Samples
+
+Here are some sample images demonstrating the model's capabilities:
+
+![sample2](https://github.com/user-attachments/assets/963dec6d-c279-4542-b42f-accda6f3b757)
+![sample](https://github.com/user-attachments/assets/d51f2c00-6102-468e-9c76-55d96f57bd1d)
+
+## References
+
+This project builds upon or references the following works:
+
+* **CenterNet:** Xingyi Zhou, Du Jia, Philipp Krähenbühl. "Objects as Points." arXiv preprint arXiv:1904.07850, 2019. [https://github.com/xingyizhou/CenterNet](https://github.com/xingyizhou/CenterNet)
+* **CenterNet-HarDNet:** [https://github.com/PingoLH/CenterNet-HarDNet](https://github.com/PingoLH/CenterNet-HarDNet)
+* **cars_tracking_bev:** [https://github.com/antoinekeller/cars_tracking_bev](https://github.com/antoinekeller/cars_tracking_bev)
+* **centernet-pytorch:** [https://github.com/bubbliiiing/centernet-pytorch](https://github.com/bubbliiiing/centernet-pytorch)
+
+## License
+
+This model is released under the [MIT License](https://opensource.org/licenses/MIT).