Update app.py

app.py

@@ -47,7 +47,7 @@ st.title(""" Image Object Detections """)
 
 st.write(""" The Faster R-CNN (Region-based Convolutional Neural Network) is a cutting-edge object detection model that combines deep 
              learning with region proposal networks to achieve highly accurate object detection in images. 
-             It is trained on a large dataset of images and can detect a wide range of objects with high precision and recall. 
+             It is trained on a large dataset of images and can detect a wide range of objects with high Precision and Recall. 
              The model is based on the ResNet-50 architecture, which allows it to capture complex visual features from the input image. 
              It uses a two-stage approach, first proposing regions of interest (RoIs) in the image and then classifying and refining the 
              object boundaries within these RoIs. This approach makes it extremely efficient and accurate in detecting multiple objects