A guide showing how to train TensorFlow Lite object detection models and run them on Android, the Raspberry Pi, and more! TensorFlow Lite is an optimized framework for deploying lightweight deep ...

This is a guest post from Iulia Feroli, founder of the Back To Engineering YouTube community. In this tutorial, we build a live object detection app using TensorFlow and PyCharm, then deploy it onto ...

Note to our users: the Tensorflow Object Detection API is no longer being maintained to be compatible with new versions of external dependencies (from pip, apt-get etc.). Any changes that follow are ...

This tutorial shows how to locally train and evaluate a real-time object detection model in a UWP application. The model will be trained with TensorFlow locally on your machine through the DirectML ...

Abstract: Object Detection is widely utilized in several applications such as detecting vehicles, face detection, autonomous vehicles and pedestrians on streets. TensorFlow's Object Detection API is a ...

The World Cup season is here and off to an interesting start. Who ever thought the reining champions Germany would be eliminated in the group stage :( For the data scientist within you let's use this ...

Abstract: Inverted bottleneck layers, which are built upon depth-wise convolutions, have been the predominant building blocks in state-of-the-art object detection models on mobile devices. In this ...

Handtrack.js library allows you track a user’s hand (bounding box) from an image in any orientation, in 3 lines of code. Here’s an example interface built using Handtrack.js to track hands from webcam ...