Update README.md

README.md

@@ -31,7 +31,7 @@ The dataset features four major crop types at different growth stages, along wit
 
 Data is captured using a simulated 4-wheel steering (4WS) acquisition platform.
 
-The platform is equipped with a synchronized sensor suite designed to mimic standard autonomous field setups:
+The platform is equipped with a sensor suite designed to mimic standard autonomous field setups:
 * **RGB-D Camera:** A front-facing camera modeled after the Stereolabs ZED-X, outputting synchronized RGB images, depth maps, and semantic masks.
 * **LiDAR:** A 32-beam rotating LiDAR sensor modeled after the Hesai XT32 for 3D spatial mapping and obstacle avoidance.
 * **BEV Camera:** An orthographic Bird's-Eye View (BEV) projection providing RGB imagery, dense semantic labels, and 2D bounding boxes.
@@ -65,3 +65,6 @@ For semantic segmentation and 2D object detection across both the front and BEV
 
 ---
 
+## 🔧 Utils
+
+Besides the recorded bag files and a script to extract data from it, we also provide the base scene, the open-source assets, and the script used to generate the scenes.