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.

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 ...

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 ...

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 ...

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 ...

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