Ever since Google announced ML Kit, it has widely experimented with SDK, and the coding style for ML is as simple as any other Firebase toolchain service, which will ensure that experts and beginners are on the same page in understanding the tool better. ML Kit has some key capabilities, such as we can use the current beta release for the production applications for use cases such as recognizing text, detecting faces, identifying landmarks, and so on.
ML Kit's selection APIs execute within mobile devices or in the remote cloud. The on-device APIs work quickly and draw the results even when the mobile phone is disconnected from the network. On the other hand, cloud-based APIs utilize the power of Google Cloud Platform (GCP) to produce very accurate and a higher level of results. ML Kit APIs cannot cover all the unique problems and use cases...
