TensorFlow Object Detection API. The TensorFlow object detection API is the framework for creating a deep learning network that solves object detection problems. There are already pretrained models in their framework which they refer to as Model Zoo.
Read moreCan I retrain a TFLite model?
You can retrain the model using frozen graphs and TFLite models . If you get new training data and want to update the model in your app, try hosting it using Firebase MLKit.
Read moreHow do you verify a TFLite model?
You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.
Read moreWhat models does TFLite support?
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP) .
Read moreHow do I create a TensorFlow model?
Create your model
Read moreHow do you use a TFLite model?
Running a TensorFlow Lite model involves a few simple steps:
Read moreHow do you evaluate a TFLite model?
You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.
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