added new model

README.md

@@ -16,4 +16,4 @@ We need to get the best prediction for every pixel.
 ![Mask](./mask.jpg)
 This is still not readable. We have to convert this into different binary masks for each class and convert to a readable format by converting each mask into base64. You can find the full implementation in pipeline.py.
 ![Binary Mask](./binary_mask.jpg)
-
+Now that you know the expected output by the model, you can host your Keras segmentation models (and other semantic segmentation models) in the similar fashion. Try it yourself and host your models!