Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in web applications or presentations after it conducts its analysis.
It is very well suited for image processing and recognition based applications and can be easily used using API calls without actually. writing any code for image processing. It can be used with any professional software development as it is built with so much precision. I would not suggest it for a sole feature-based application like image tagging only because for that you can create your own algorithm specific to a domain you want.
I would recommend it for use when anyone wants to quickly develop a neural network. Or if a user is solving any machine learning problem that includes deep learning. And this kind of problem will be like image recognition, face recognition, doing some text analysis using deep learning which includes LSTM or some other algorithm.
Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.
Accuracy and usability of amazon Rekognition are great. It provides many functionalities its competitors do not. Also, the Amazon service is great in general.
As Keras is the high level API, so using Keras, we don't have to be bothered by the low level TensorFlow complexity, and we can reduce a lot coding and testing efforts.
