--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 # COVID-19 xray dataset
 
 
-<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/covid-chest-xray-cover.jpg"/>
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/covid-chest-xray-cover.jpg?raw=true"/>
 
 [BROWSE & DOWNLOAD THE DATASET ON V7 DARWIN HERE](https://darwin.v7labs.com/v7-labs/covid-19-chest-x-ray-dataset)
 
@@ -29,13 +29,13 @@
 
 Lung annotations are polygons following pixel-level boundaries. These can be exported as `COCO`, `VOC`, or `Darwin JSON` formats. Each annotation file contains a URL to the original full resolution image, as well as a reduced size thumbnail.
 
-<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/example_1.png" />
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/example_1.png?raw=true" />
 
 **LUNG SEGMENTATION NOTES**: Lung segmentations in this dataset include most of the heart, revealing lung opacities behind the heart which may be relevant for assessing the severity of viral pneumonia. Uniformly shaped lungs also de-couples the shape and content within the left lung from the size of the heart.
 
 The lower-most part of the lungs is defined by the extent of the diaphragm, where visible. If the back of the lungs is clearly visible through the diaphragm it is also included up until the lower-most visible part of the lungs.
 
-![media/Jun-17-2020_15-21-23.gif](media/Jun-17-2020_15-21-23.gif)
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/Jun-17-2020_15-21-23.gif?raw=true"/>
 
 Lung segmentations were performed by human annotators using [Auto-Annotate](https://www.v7labs.com/automated-annotation), adjusted, and reviewed by humans.
 
@@ -47,11 +47,10 @@
 - Portable x-ray images are of significant lower quality than others. Be aware that they correlate highly with severe conditions. Classification models will bias portable x-ray images with diseases like COVID-19.
 - Medical instruments like pacemakers and markup that overlap the lungs are masked with an "Ignore" class. We encourage masking these out when performing lung analysis as they correlated strongly with sick patients. Intubation instruments are not removed if smaller/thinner than 1cm.
 
-![media/example_2.png](media/example_2.png)
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/example_2.png?raw=true" />
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/example_3.png?raw=true" />
+<img src="https://github.com/v7labs/covid-19-xray-dataset/blob/master/media/example_4.png?raw=true" />
 
-![media/example_3.png](media/example_3.png)
-
-![media/example_4.png](media/example_4.png)
 
 You may also use the `Ignore` class to filter out images with occluding markups or large medical instruments.