diff --git a/inference/conf/humanseg.yaml b/inference/conf/humanseg.yaml
index 78195d9e8b4fe2d9ed2758ab76d8e5f88fd104a9..bdde20a172bf48c2f768473d0bb606ac578ac0cf 100644
--- a/inference/conf/humanseg.yaml
+++ b/inference/conf/humanseg.yaml
@@ -1,15 +1,14 @@
 DEPLOY:
     USE_GPU: 1
     MODEL_PATH: "/root/projects/models/deeplabv3p_xception65_humanseg"
-    MODEL_NAME: "unet"
     MODEL_FILENAME: "__model__"
     PARAMS_FILENAME: "__params__"
     EVAL_CROP_SIZE: (513, 513)
-    MEAN: [0.5, 0.5, 0.5]
+    MEAN: [0.40787450980392154, 0.4575254901960784, 0.481078431372549]
     STD: [1.0, 1.0, 1.0]
     IMAGE_TYPE: "rgb"
     NUM_CLASSES: 2
     CHANNELS : 3
     PRE_PROCESSOR: "SegPreProcessor"
     PREDICTOR_MODE: "NATIVE"
-    BATCH_SIZE : 3
+    BATCH_SIZE : 1