Image Segmentation allows developers to partition a video or image into multiple segments that represent everyday things. As an example, image segmentation can help identify the outline of people walking in the street or discern the shapes of everyday things in your living room like couches and chairs.
Custom Training Models for Image Segmentation¶
You can train a custom model that is compatible with the Image Segmentation API by using Quickstart: Use Fritz AI Studio to Train a Custom Model.
Include our models directly in your app and use them with the API.
|MobileNet and ICNet variants||Core ML (iOS), TensorFlow Lite (Android)||~25 MB||224x224-pixel image||Height and width of the mask, Number of classes the model predicts, Probability that pixel belongs to class||30 FPS on iPhone X, 10 FPS on Pixel 2|