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  # MobileNetV2
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- This model - MobileNetV2 is generated from `tf.keras.applications` using [tf_model_generator.py](https://github.com/syna-astra-dev/iree-synaptics-synpu/blob/main/tests/model_generator/tf_model_generator.py). The dataset for int8 quantization is done using random data.
 
 
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  Available formats: int16, int8, float32, float16
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- The `kaggle.tflite` model is the [original quantized model](https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized) published by Google.
 
 
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  # MobileNetV2
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+ This model - MobileNetV2 is generated from `tf.keras.applications`
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+ using [tf_model_generator.py](https://github.com/syna-astra-dev/iree-synaptics-synpu/blob/main/tests/model_generator/tf_model_generator.py).
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+ The dataset for int8 quantization is done using random data.
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  Available formats: int16, int8, float32, float16
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+ The `kaggle.tflite` model is the [original quantized model](https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized)
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+ published by Google. This model uses v1 tflite quantization.