Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Our research employs YOLOv5, a state-of-the-art deep learning algorithm, for object detection in this domain. YOLOv5 is particularly effective in identifying objects in real time with high accuracy ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

To solve the problem, new technology has been suggested to detect potholes on muddy and highway routes ... A comprehensive realtime comparison of advanced deep learning models and object ...

In this project, a deep learning-based approach is used for lane detection ... for semantic segmentation to accurately detect and classify road features, and YOLOv8 for object detection. Autonomous ...

The aim of the thesis was to make deep learning available on low-cost edge devices as an alternative for smart cameras. A thorough research was made particularly focusing on the history of object ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

Introduction: Preserving the marine ecological environment and safeguarding marine species is a global priority. However, human overfishing has led to a drastic decline in fish species with longer ...