TF Lite Object Detection Model with Metadata
Learn to add metadata to a TF Lite object detection model using TF Lite Metadata Writer API.
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Metadata refers to the data that describes other data or information. For DL models, metadata can include the model architecture, input and output details, training details, accuracy metrics, and label files. Let’s use TF Lite Metadata Writer API to include the metadata to an existing object detection TF Lite model.
TF Lite model metadata
TF Lite model metadata is a self-descriptive format that contains information about the model, its inputs and outputs, and associated files.
Note: To enable model inference using either TF Lite Task Library or ML Kit, models should have ...