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....

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....