![]() ![]() Plus, Fritz’s prebuilt models don’t require an internet connection, and they run atop live video with “a fast frame rate.” All of them optionally perform inference on-device and come in several sizes, from small models tailored for size and bandwidth to fast models optimized for processing speed.įritz enables customers to generate synthetic data or collect data for annotation and to benchmark on-device model performance before deployment. Using its end-to-end suite for building and deploying custom trained models, developers can generate and collect labeled data sets and train optimized models without code, and they can improve those models with fresh data uploaded continuously.Īpple and Google offer mobile machine learning solutions in Core ML and ML Kit, respectively, but they’re platform-specific. ![]() To address this challenge, Fritz provides a cross-platform software development kit (SDK) with pretrained models for object detection, image segmentation, image labeling, style transfer, pose estimation, and more baked in. ![]()
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