Two popular models in object detection and image classification are YOLO (You Only Look Once) and R-CNN (Regions with Convolutional Neural Networks). This project aims to compare YOLO and R-CNN on a ...

The YOLO architecture is based on Fully Convolutional Neural Networks (FCNN). However, Transformer-based versions have recently been added to the YOLO family as well. We will discuss Transformer-based ...

As problems like climate change, greenhouse emissions, etc. become common, Electric Vehicles (EVs) are now being looked at as an alternative. In order for EVs to succeed, numerous charging networks ...

In this work, a unique approach has been taken toward FOD by using DL, particularly the YOLO v7 algorithm. The pre-trained YOLO v7 algorithm has been further customized to detect (a) coins (b) screws ...