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.
*Availability of many developer friendly features. *Accuracy is high. *Ease of use.
i hate that they fixate on one item in the phote, for example if an image is of a cat and dog, they might only label the dog
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.
*Availability of many developer friendly features. *Accuracy is high. *Ease of use.
It can become overwhelming at times with all the options but for the most part its a trial and error learning process.
i hate that they fixate on one item in the phote, for example if an image is of a cat and dog, they might only label the dog