I was looking at object classification and identification services of multiple cloud providers AWS, Microsoft Azure and Google cloud.

I have picked and used the same image and see what would happen (image from https://ankyrahome.com/)

Let's try Amazon  

Amazon Rekognition is the service that can help to classify objects and recognize some common features like colors and shapes.

Amazon Rekognition – Video and Image - AWS
Learn about Amazon Rekognition and how you can quickly and easily build visual analysis for your applications.

Well it is quite confident (97%) that this is a Rug.. :)

Let's try Microsoft's computer vision and see the results for the same image.

Computer Vision | Microsoft Azure
Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Ok well it is not as confident as AWS rekognition but same result it is still identifying it as a rug.

Now let's try Google vision API and see the result for the same image.

Vision AI | Derive Image Insights via ML | Cloud Vision API
Derive insights from images in the cloud or at the edge with AutoML Vision, or use pre-trained Vision API models to detect emotion, text, and more.

Now this is pretty impressive and super accurate even it has a confidence level of 78%.

As a result, Google vision API is the most accurate one given that there was no additional training and using default demo model.