diff --git a/fluid/PaddleCV/object_detection/README_quant.md b/fluid/PaddleCV/object_detection/README_quant.md
index 6723a48832d1b5210436eb2001234c6fe9149736..0cb75ce7f747fb5479a5722c3ab503a0980a2600 100644
--- a/fluid/PaddleCV/object_detection/README_quant.md
+++ b/fluid/PaddleCV/object_detection/README_quant.md
@@ -2,7 +2,7 @@
 
 ### Introduction
 
-The quantization-aware training used in this experiments is introduced in [fixed-point quantization desigin](https://gthub.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/quantization/fixed_point_quantization.md). Since quantization-aware training is still an active area of research and experimentation,
+The quantization-aware training used in this experiments is introduced in [fixed-point quantization desigin](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/quantization/fixed_point_quantization.md). Since quantization-aware training is still an active area of research and experimentation,
 here, we just give an simple quantization training usage in Fluid based on MobileNet-SSD model, and more other exeperiments are still needed, like how to quantization traning by considering fusing batch normalization and convolution/fully-connected layers, channel-wise quantization of weights and so on.