updated roboflow model to improve accuracy

app.py

@@ -233,7 +233,7 @@ def fetchImage():
         result = CLIENT.infer(
             file_name, model_id="car-recognition-v4/4")
     filtered_labels = [item
-                       for item in result["predictions"] if item["confidence"] >= threshold]
+                       for item in result["predictions"]]
 
     if filtered_labels == []:
         i = 0.7
@@ -244,9 +244,8 @@ def fetchImage():
             with CLIENT.use_configuration(custom_configuration):
                 result = CLIENT.infer(
                     file_name, model_id="car-recognition-v4/4")
-            threshold = 0.3  # Adjust this as needed
             filtered_labels = [item
-                               for item in result["predictions"] if item["confidence"] >= threshold]
+                               for item in result["predictions"]]
     labels = filtered_labels
     print(labels)
     for class_ in labels: