This demo shows the full deep learning workflow for an example using image data in MATLAB. In it we use deep learning based object detection using Yolo v2 to identify vehicles of interest in a scene.

This repository contains two examples on how to use TensorFlow™ and PyTorch® models for object detection in MATLAB® and how to explain the models' decisions with D-RISE. Object Detection and ...

Example of an annotation file for object detection training data. ... In the past few years, deep learning object detection has come a long way, ...

Abstract: Deep learning plays a crucial role in military object detection, a critical aspect of military operations. Specifically, the You Only Look Once (YOLO) object detection algorithm is highly ...

There are many more potentially valuable applications for deep learning object detection in SMT and semiconductor applications that we are actively pursuing. For more information about this ...

The picture above is an Illustration of Major milestone in object detection research based on deep convolutional neural networks since 2012. Currently, deep learning-based object detection frameworks ...

2.3.1 Object Detection Using Deep Learning. Object detection using deep learning consists of two stages, classification and localization. The classification was done using the convolutional neural ...