I like the fact that Amazon Rekognition is very efficient in recognizing the elements in photos or videos without extensive training. It is a handy tool if we don't want to go to the roots of the Computer Vision models and just focus on the implementation.
It can become overwhelming at times with all the options but for the most part its a trial and error learning process.
What I like most is that it allows me to classify custom images and practice with them. It is good for implementing models of different latencies and optimizing them.
Complex data types, unsupervised learning, and reinforcement learning.
I like the fact that Amazon Rekognition is very efficient in recognizing the elements in photos or videos without extensive training. It is a handy tool if we don't want to go to the roots of the Computer Vision models and just focus on the implementation.
What I like most is that it allows me to classify custom images and practice with them. It is good for implementing models of different latencies and optimizing them.
It can become overwhelming at times with all the options but for the most part its a trial and error learning process.
Complex data types, unsupervised learning, and reinforcement learning.