In Part 1 and Part 2 of this series I started the comparison of three major Image recognition and classification APIs - Microsoft Cognitive Services Computer Vision, Google Cloud Vision and IBM Watson Visual Recognition
In today’s part I will analyze the way we use the APIs by looking at the requests / response structures and checking the performance (time and size). We compared the efficiency and accuracy in the part 2 so now we will just focus on how easy it is to consume the response rather than how accurate it is.