diff --git a/modules/image/object_detection/yolov3_darknet53_venus/README.md b/modules/image/object_detection/yolov3_darknet53_venus/README.md
index f2898cbe66d4e6c6c56e78b112e58a59bf5dcf40..41230f30553b2b22f56153d1b7d9f102061702aa 100644
--- a/modules/image/object_detection/yolov3_darknet53_venus/README.md
+++ b/modules/image/object_detection/yolov3_darknet53_venus/README.md
@@ -59,39 +59,6 @@
       - outputs (dict): 模型的输出。如果 get\_prediction 为 False，输出 'head\_features'、'body\_features'，否则输出 'bbox\_out'
       - context\_prog (Program): 用于迁移学习的 Program
 
-  - ```python
-    def object_detection(paths=None,
-                         images=None,
-                         batch_size=1,
-                         use_gpu=False,
-                         score_thresh=0.5,
-                         visualization=True,
-                         output_dir='detection_result')
-    ```
-
-    - 预测API，检测输入图片中的所有目标的位置。
-
-    - **参数**
-
-      - paths (list\[str\]): 图片的路径； <br/>
-      - images (list\[numpy.ndarray\]): 图片数据，ndarray.shape 为 \[H, W, C\]，BGR格式； <br/>
-      - batch\_size (int): batch 的大小；<br/>
-      - use\_gpu (bool): 是否使用 GPU；<br/>
-      - score\_thresh (float): 识别置信度的阈值；<br/>
-      - visualization (bool): 是否将识别结果保存为图片文件；<br/>
-      - output\_dir (str): 图片的保存路径，默认设为 detection\_result。
-
-    - **返回**
-
-      - res (list\[dict\]): 识别结果的列表，列表中每一个元素为 dict，各字段为:
-        - data (list): 检测结果，list的每一个元素为 dict，各字段为:
-          - confidence (float): 识别的置信度
-          - label (str): 标签
-          - left (int): 边界框的左上角x坐标
-          - top (int): 边界框的左上角y坐标
-          - right (int): 边界框的右下角x坐标
-          - bottom (int): 边界框的右下角y坐标
-        - save\_path (str, optional): 识别结果的保存路径 (仅当visualization=True时存在)
 
   - ```python
     def save_inference_model(dirname,
diff --git a/modules/image/text_recognition/chinese_text_detection_db_server/README.md b/modules/image/text_recognition/chinese_text_detection_db_server/README.md
index b8c5882b86735c9f324e98fc988d8b2a404f84d4..d0af17f9e2ab7612dd489ebd73ee90e3cef6ca3d 100644
--- a/modules/image/text_recognition/chinese_text_detection_db_server/README.md
+++ b/modules/image/text_recognition/chinese_text_detection_db_server/README.md
@@ -73,7 +73,7 @@
     import paddlehub as hub
     import cv2
 
-    text_detector = hub.Module(name="chinese_text_detection_db_server"), enable_mkldnn=True)       # mkldnn加速仅在CPU下有效
+    text_detector = hub.Module(name="chinese_text_detection_db_server", enable_mkldnn=True)       # mkldnn加速仅在CPU下有效
     result = text_detector.detect_text(images=[cv2.imread('/PATH/TO/IMAGE')])
 
     # or
@@ -174,7 +174,7 @@
 * 1.0.3
 
   移除 fluid api
-
+  
   - ```shell
     $ hub install chinese_text_detection_db_server==1.0.3
     ```
diff --git a/modules/text/language_model/slda_novel/README.md b/modules/text/language_model/slda_novel/README.md
index a08ae571b0691a3dd99ecb53cdeea323f3cc67aa..94db573704b336972421e85fe8458417d33ab4d4 100644
--- a/modules/text/language_model/slda_novel/README.md
+++ b/modules/text/language_model/slda_novel/README.md
@@ -44,7 +44,7 @@
 ``` python
 import paddlehub as hub
 
-slda_novel = hub.Module("slda_novel")
+slda_novel = hub.Module(name="slda_novel")
 
 topic_dist = slda_novel.infer_doc_topic_distribution("妈妈告诉女儿，今天爸爸过生日，放学后要早点回家一起庆祝")
 # [{'topic id': 222, 'distribution': 0.5}, {'topic id': 362, 'distribution': 0.5}]