ML Kit basics
Of course, we can always do all the ML-based implementations without the help of Firebase. However, there are a few reasons why not everyone will be able to do this. The reason for this could be one of the following:
- A very good mobile application developer may not be good at building an ML model. Building an ML model definitely takes time. This may vary on a case-by-case basis.
- Finding the right set of data models that will solve your use case will be a very difficult problem. Let's say you want to detect age and gender classification on an Asian person's face. In this case, the existing models that are available may not be accurate enough for your use case.
- Hosting your own model will be costlier and will require extra care on the server side of the application.
The ML Kit is a combination of Google Cloud Vision API, Mobile Vision, and TensorFlow Lite models on a local device:
Basic feature set
ML Kit comes with a ready-to-use code base for common use cases such as detecting...
