Update app.py

app.py

@@ -10,14 +10,14 @@ import tempfile
 import os
 
 # Set page config
-st.set_page_config(page_title="Object Detection with YOLO and SAHI", layout="wide")
+st.set_page_config(page_title="AI Powered Ship Detection using SAR", layout="wide")
 
 def load_model():
     """Load the YOLO model"""
     model = AutoDetectionModel.from_pretrained(
         model_type='yolov8',
         model_path='yolov10x.pt',
-        confidence_threshold=0.3,
+        confidence_threshold=0.5,
         device="cuda" if torch.cuda.is_available() else "cpu"
     )
     return model
@@ -33,8 +33,8 @@ def process_image(image_path, model):
         model,
         slice_height=512,
         slice_width=512,
-        overlap_height_ratio=0.2,
-        overlap_width_ratio=0.2
+        overlap_height_ratio=0.5,
+        overlap_width_ratio=0.5
     )
     
     # Convert PIL image to numpy array
@@ -72,14 +72,6 @@ def process_image(image_path, model):
 def main():
     st.title("Object Detection with YOLO and SAHI")
     
-    # Add sidebar information
-    st.sidebar.header("About")
-    st.sidebar.write("""
-    This app uses YOLOv8 and SAHI for improved object detection.
-    SAHI helps in detecting small objects and handling edge cases by
-    slicing the image into smaller pieces.
-    """)
-    
     # Load model
     @st.cache_resource
     def get_model():