High-precision underwater object detection technology has important research value and broad application prospects in marine biological resources exploration and marine fisheries monitoring. However, ...

This project is dedicated to object detection in images and videos using the YOLOv5 model. It leverages the YOLOv5 algorithms to identify and classify different objects within a digital media file.

This repository contains a simple and effective implementation of object detection using the YOLOv5 model. YOLO (You Only Look Once) is a state-of-the-art object detection algorithm with high accuracy ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

The object detection algorithms based on deep learning can be divided into two categories: two-stage and one-stage. The representatives of two-stage methods are SPP ( He, Zhang et al., 2015 ), faster ...

Moreover, YOLOv5-MA can achieve a balance between accuracy and speed compared to YOLOv5, YOLOv8, and RE-DETR. This validates the advantages of YOLOv5-MA in underwater object detection for blurry ...