TensorFlow Lite example apps
Explore pre-trained TensorFlow Lite models and learn how to use them in sample apps for a variety of ML applications.
Generate suggestions for text inputs using a Keras language model.
Identify hundreds of objects, including people, activities, animals, plants, and places.
Detect multiple objects with bounding boxes. Yes, dogs and cats too.
Estimate poses for single or multiple people. Imagine the possibilities, including stick figure dance parties.
Identify speech commands by recognizing keywords.
Recognize gestures using your webcam.
Pinpoint the shape of objects with strict localization accuracy and semantic labels. Trained with people, places, animals, and more.
Categorize free text into predefined groups. Potential applications include abusive content moderation, tone detection, and more.
Provide personalized on-device recommendations based on events selected by users.
Answer questions based on the content of a given passage of text with BERT.
Classify handwritten digits.
Apply any styles on an input image to create a new artistic image.
Generate reply suggestions to input conversational chat messages.
Generate a super resolution image from a low resolution image.
Classify audio using your microphone.
Identify human actions in video footages.
Train a game agent using reinforcement learning and build an Android game using TensorFlow Lite.
Extract texts from images using Optical Character Recognition with TensorFlow Lite.
Train a TensorFlow Lite model on-device.