diff --git a/RPi4/home/ucia/Desktop/DetectObj.desktop b/RPi4/home/ucia/Desktop/DetectObj.desktop
new file mode 100644
index 0000000..ab529be
--- /dev/null
+++ b/RPi4/home/ucia/Desktop/DetectObj.desktop
@@ -0,0 +1,13 @@
+[Desktop Entry]
+Name=Détection objet
+Comment=Détection d'objets dans les images de la caméra RPi.
+Exec=/home/ucia/UCIA/UCIA_ObjectDetection/bin/start_object_detection.sh
+Icon=/home/ucia/UCIA/UCIA_ObjectDetection/bin/AI.pixmap
+Terminal=true
+Type=Application
+Categories=Application;Development;
+StartupNotify=true
+Name[fr_FR]=DetectObj.desktop
+X-KeepTerminal=true
+Path=/home/ucia/UCIA
+GenericName=Détection d'objets dans les images de la caméra RPi.
diff --git a/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/bin/AI.pixmap b/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/bin/AI.pixmap
new file mode 100644
index 0000000..d9df2da
Binary files /dev/null and b/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/bin/AI.pixmap differ
diff --git a/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/inf_camera-2.py b/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/inf_camera-2.py
index ec0cb53..f3280ff 100644
--- a/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/inf_camera-2.py
+++ b/RPi4/home/ucia/UCIA/UCIA_ObjectDetection/inf_camera-2.py
@@ -31,10 +31,10 @@
 #yolo_trained = 'YOLO-trained/UCIA-YOLOv8n/batch-04_epo-100/weights/best_ncnn_model'
 #yolo_trained = 'YOLO-trained/UCIA-YOLOv8s/batch-04_epo-100/weights/best_ncnn_model'
 
-yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-02_epo-100/weights/best_ncnn_model'
+#yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-02_epo-100/weights/best_ncnn_model'
 #yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-02_epo-100/weights/best.onnx'
 
-#yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-04_epo-100/weights/best_ncnn_model'
+yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-04_epo-100/weights/best_ncnn_model'
 #yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-04_epo-100/weights/best.onnx'
 
 #yolo_trained = 'YOLO-trained/UCIA-YOLO11n/batch-10_epo-080/weights/best_ncnn_model'
@@ -70,7 +70,7 @@
         else:
             col   = avRGB.argmax()
             color = colors[col]
-        print(name, conf, color, (y1,x2,y2,x1), tuple(avRGB.astype(int)))
+        print(name, f'{float(conf):.2f}', color, (y1,x2,y2,x1), tuple(avRGB.astype(int)))
     
     # Break the loop if 'q' is pressed
     if cv2.waitKey(1) == ord("q"):