Using SwiftUI, Vision, CreateML and CoreML
Similar to ImageClassification02 but creating the model using a custom dataset. Trained with a dataset of food images using Create ML. It shows the result of the three main food that can identify.
You can choose a food picture from your library, camera or live.
Foods loaded for train the neural network: apple, banana, cake, candy, carrot, cookie, doughnut, grape, hot dog, ice cream, juice, muffin, orange, pineapple, popcorn, pretzel, salad, strawberry, waffle, watermelon.
To go deep in machine learning models look ImageClassification03 where I used TuriCreate.