The Efficientdet lite object detection model is a lightweight, high-performing model developed by Google for deployment on devices with limited resources such as smartphones and edge devices. It is compatible with a wide range of platforms and devices including Android, Linux, Windows, Chrome OS, and iPhone, thanks to the cross-platform compatibility of the Tensorflow runtime. The model can achieve an inference speed of 20 milliseconds, making it fast for low-resource devices, and it can also be run on Intel CPUs without a GPU using the “XNNPack delegate” feature....
Deploying Object Detection App into Android & EDGE Devices Part Two
You can refer to the previous post to learn how to build the object detection model using the TensorFlow Model Maker API and the efficientdet-lite model (https://www.aivision.app/ai/tensorflow-model-maker-part-two/) Live Demo for Android and EDGE Device Here is the live demo for Object Detection App on Android and Edge Devices. Clone the Repo git clone https://github.com/Abdullamhd/od_efficientdet Building the Object Detection App for Android Prerequisites Android Studio Android Device with Android 8 or higher....