This repository contains MobileNetV2 models in multiple precisions (int8, int16, float16, float32) generated for Synaptics edge hardware. It includes both the original TensorFlow Lite quantized version and Keras-compatible formats suitable for on-device inference.
MobileNet is an Other AI project. It focuses on running efficient image classification models on resource-constrained embedded hardware and edge devices. MobileNet is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web, the command line, and API.
Synaptics builds and maintains MobileNet, and it first shipped in 2022. Among its 4 catalogued features are mobileNetV2, Quantized Model, and Edge Inference.
Summary written by a language model from the project’s public pages.
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