diff --git a/README.md b/README.md
index 2f4ac1b9154788b30e41214e4706141068a11054..5bcf3e9c8c5937ce5c6017b34752d7016819ccce 100644
--- a/README.md
+++ b/README.md
@@ -76,14 +76,14 @@ proposed framework and indicates its potentials in executing
 dataset.
 
 
-![Image description](fasterRCNN(1).jpg)
+![Image description](fasterRCNN_1_.jpg)
 
 Fig. 2. Qualitative results of the proposed frameworks with Faster R-CNN on four example images from test KITTI dataset. The first row of images is the
 ground truths on input color images. The second is the color-based baseline framework. The third and forth rows of images are the detection result of two
 uni-modals on sparse and dense depth images, respectively. The last row illustrates the detection result of multi-model framework on color and dense depth
 image.
 
-![Image description](SSD(1).jpg)
+![Image description](SSD_1_.jpg)