Use Image Labeling to recognize people, places, and things in your app. This computer vision model understands a collection of hundreds of labels.
Use Style Transfer to bring real-time, artistic styles to your apps. Transform photos into masterpieces painted by history’s greatest artists. Great for creative camera apps and user-generated content.
Use Image Segmentation to recognize everyday objects and identify exactly which pixels belong to each object. Great for creating pixel-level masks, performing portrait segmentation and more.
Use Object Detection to identify and track things within the contents of an image or each frame of live video. Helps with everything from photography to autonomy.
Pose Estimation identifies and tracks a person's body position. By using the Vision API, app developers can build AI-powered coaches for sports and fitness, immersive AR experiences, and more.
Use Fritz to monitor machine learning models running on-device. You can easily measure and update your models on both iOS and Android devices as your model improves.
Use custom models with the SDK to monitor usage and performance, or deploy updated models over-the-air. Support for iOS Core ML, TensorFlow Lite and TensorFlow mobile.
Protect and secure your machine learning models and your Intellectual Property. Use model protection to keep models from being tampered-with or stolen.
Use the CLI to train, test, and track all of your mobile machine learning models.