Here’s how deep learning helps computers detect objects From autonomous driving to healthcare, object detection is used for many things June 28, 2021 - 2:27 pm ...

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.

These models behave differently in network architecture, training strategy, and optimization function. In this paper, we provide a review of deep learning-based object detection frameworks. Our review ...

The model leverages the ResNet50 deep learning architecture to perform object detection on the CIFAR-10 dataset. CIFAR-10 is a labeled subset of the 80 million tiny images dataset and consists of ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system. ScienceDaily. Retrieved May 13, 2025 from www.sciencedaily.com / releases / 2022 / 12 / 221212140800.htm.

These parameter-varied simulations are used to train sensitive 2D CNN object detectors. When combined with 1D histogram peak detection algorithms, this multi-modal detection framework is highly adept ...

Abstract: The object detection based on deep learning is an important application in deep learning technology, which is characterized by its strong capability of feature learning and feature ...