That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, ...

Stephen is an author at Android Police who covers how-to guides, features, and in-depth explainers on various topics. He joined the team in late 2021, bringing his strong technical background in ...

Abstract: Objects in the home that are often used tend to follow specific patterns in terms of time and location. Analyzing these trends can help us keep track of our belongings and increase ...

Abstract: In this paper, we focus on the detection of tiny objects. The goal is to improve the performance of tiny object detection while preserving the average precision and recall metrics compared ...

In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the ...

This repository is a tutorial for how to use TensorFlow Object Detection API to train an object detection classifier on Windows. The purpose of this tutorial is to explain how to train your own ...

Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for ...

Google's TensorFlow Model Optimization team has introduced a new API for Quantization Aware Training. The new API allows for the development of smaller machine learning models without sacrificing ...