diff --git a/deploy/configs/inference_cartoon.yaml b/deploy/configs/inference_cartoon.yaml
index e47aca31d4bf7d46e225997880e00a77e7c2b640..d81440b1fad01276ac2c85adb02697bb207cb7cd 100644
--- a/deploy/configs/inference_cartoon.yaml
+++ b/deploy/configs/inference_cartoon.yaml
@@ -4,8 +4,8 @@ Global:
   rec_inference_model_dir: "./models/cartoon_rec_ResNet50_iCartoon_v1.0_infer/"
   batch_size: 1
   image_shape: [3, 640, 640]
-  threshold: 0.5
-  max_det_results: 1
+  threshold: 0.2
+  max_det_results: 5
   labe_list:
   - foreground
 
@@ -53,3 +53,4 @@ IndexProcess:
   search_budget: 100
   return_k: 5
   dist_type: "IP"
+  score_thres: 0.5
diff --git a/deploy/configs/inference_logo.yaml b/deploy/configs/inference_logo.yaml
index 6f183f1059fac17d077f535d08286a59c4b3ddb4..ba452b9c221ca6b25a7bcb4bf9b7bbaacc658ea7 100644
--- a/deploy/configs/inference_logo.yaml
+++ b/deploy/configs/inference_logo.yaml
@@ -4,8 +4,8 @@ Global:
   rec_inference_model_dir: "./models/logo_rec_ResNet50_Logo3K_v1.0_infer/"
   batch_size: 1
   image_shape: [3, 640, 640]
-  threshold: 0.5
-  max_det_results: 1
+  threshold: 0.2
+  max_det_results: 5
   labe_list:
   - foreground
 
@@ -52,3 +52,4 @@ IndexProcess:
   search_budget: 100
   return_k: 5
   dist_type: "IP"
+  score_thres: 0.5
diff --git a/deploy/configs/inference_product.yaml b/deploy/configs/inference_product.yaml
index 4a6aa572c316a8d4c84bffb812f81cad6f13be18..975aba32343a447d6ba24b30b544920689a0b6dd 100644
--- a/deploy/configs/inference_product.yaml
+++ b/deploy/configs/inference_product.yaml
@@ -5,7 +5,7 @@ Global:
   batch_size: 1
   image_shape: [3, 640, 640]
   threshold: 0.2
-  max_det_results: 1
+  max_det_results: 5
   labe_list:
   - foreground
 
@@ -52,3 +52,4 @@ IndexProcess:
   search_budget: 100
   return_k: 5
   dist_type: "IP"
+  score_thres: 0.5
diff --git a/deploy/configs/inference_vehicle.yaml b/deploy/configs/inference_vehicle.yaml
index 357b722d57508c04dcefa1e287846b13a01bf958..671018a0fc4a4c8aa3a7481f774f66ad2584fbbb 100644
--- a/deploy/configs/inference_vehicle.yaml
+++ b/deploy/configs/inference_vehicle.yaml
@@ -4,8 +4,8 @@ Global:
   rec_inference_model_dir: "./models/vehicle_cls_ResNet50_CompCars_v1.0_infer/"
   batch_size: 1
   image_shape: [3, 640, 640]
-  threshold: 0.5
-  max_det_results: 1
+  threshold: 0.2
+  max_det_results: 5
   labe_list:
   - foreground
 
@@ -54,3 +54,4 @@ IndexProcess:
     search_budget: 100
     return_k: 5
     dist_type: "IP"
+    score_thres: 0.5