PROJECT DETAILS

real time object detection with YOLOv5

Real-Time Object Detection with YOLOv5


Rs.7,000


  •   YOLOv5 shines in real-time object detection and creating it ideal for applications like robotics, autonomous vehicles and more.
  •   Optimized for high FPS on GPUs and YOLOv5 ensures efficient and accurate object detection in various scenarios such as retail analytics and traffic monitoring.
  •   It provides straight-forward implementation and pre-trained model enabling custom training and quick positioning for specific tasks.

  • Description

This project mainly focuses on implementing real-time objects detection using YOLOv5, an innovative deep learning model. The aim is to detect and classify objects in live video streams or images with high accuracy and reliable. The project setting up the YOLOv5 environment ad training the model on a custom dataset and locate it for real-time deduction. Some applications include industrial automation, autonomous driving and surveillance. This project indentifies YOLOv5 efficiency, adaptability and creating it an ideal choice for developers and researchers aiming to perform real-time object detection into their system.