TF Lite Model Metadata
Explore the role of TF Lite model metadata in describing deep learning models for mobile deployment. Learn to use the Metadata Writer API to add, manage, and extract metadata, enabling smoother model integration and inference within Android apps.
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Metadata refers to the data that describes other data or information. It provides additional information about data to help understand, manage, or use it more effectively. In the context of ML models, metadata can include information such as the model architecture, input and output shapes, preprocessing steps, training details, accuracy metrics, label files, and more. Let’s explore TF Lite metadata and the Metadata Writer API. We will also extract model information, input/output details, and associated files from a TF Lite model with metadata.