Update README.md

README.md

@@ -1,10 +1,3 @@
----
-license: mit
-task_categories:
-- feature-extraction
-tags:
-- localization
----
 # UAV-GeoLoc
 This repo contains the large-vocabulary datasets for our paper *UAV-GeoLoc: A Large-vocabulary Dataset and Geometry-Transformed
 Method for UAV Geo-Localization*. Given a top-down UAV image, retrieve a corresponding satellite image patch to infer the UAV's location.
@@ -30,6 +23,9 @@ unzip Country.zip
 # For Terrain
 cat Terrain.zip.* > Terrain.zip
 unzip Terrain.zip
+
+# For Rot
+unzip Rot.zip
 ```
 
 ### 🖼️ Dataset Structure
@@ -79,5 +75,11 @@ Each file defines a specific subset of the dataset used for:
 - `*.txt`: only train on `terrain` class
 - `*_all.txt`: Union of all images in a given category  
 
+## 📸 Result on Rot
+![Result](rot_1.png)
+‘Fire’ denotes results trained on our proposed dataset. ‘Box’ indicates that the model is trained with the LPN method.
+
 ## 📄 License
-This project is licensed under the MIT License.  You are free to use, modify, and distribute the dataset for academic and research purposes.
+This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).  
+Any modification of the dataset is strictly prohibited. The imagery was collected using Google Earth Studio, and appropriate attribution to Google must be provided in any derivative work or publication.
+