text: Title: Instance Segmentation vs Object Detection 
  Body: I would like to find out whether it is better to use instance segmentation or object detection to classify vehicles and count them, in the case of traffic congestion. 
  
  From my experience, traffic congestion has a lot of occlusion for bounding box to be accurate, it may classify a car as a truck, and a truck as a car.  I have a relatively large datasets, approx 7000 - 10000 images, it may be better to just use object detection as it will be easier to manage as the dataset gets larger
  
  Image example: 
  ![image](https://user-images.githubusercontent.com/58838171/91002533-83dee480-e601-11ea-85a1-ea8d11c12f49.png)
  
  
  If anyone can give some input, that would be greatly appreciated.
  
  Thanks  