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  1. Object Detection using OpenCV and Python - IEEE Xplore

    Abstract: The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners …

  2. Abstract This article summarizes the background and application fields of Open-Source Computer Vision Library (OpenCV) and deep learning and conducts research based on their object …

  3. ABSTRACT Efficient and accurate object detection has been an important topic in the advancement of computer vision systems. With the advent of deep learning techniques, the …

  4. Object Detection with OpenCV: A Step-by-Step Tutorial

    Mar 30, 2024 · OpenCV, a popular open-source computer vision library, can be used with pre-trained models like TensorFlow’s SSD to perform object detection by setting confidence …

  5. Detect an object with OpenCV-Python - GeeksforGeeks

    Apr 13, 2025 · Object detection refers to identifying and locating objects within images or videos. OpenCV provides a simple way to implement object detection using Haar Cascades a …

  6. In this study, various basic concepts used in object example, if any particular algorithm predicts each and every detection while making use of OpenCV library of python 2.7, improving the …

  7. Object Detection in Python: Comprehensive Guide - ML Journey

    Dec 20, 2024 · In this comprehensive guide, we will break down the fundamentals of object detection, introduce popular algorithms, explain how to set up Python for object detection, and …

  8. A Beginner’s Guide to Object Detection in Python

    Sep 6, 2024 · Object detection is one of the most exciting areas in computer vision, allowing machines to recognize and locate objects in images or videos. This guide will introduce you to …

  9. Aman-Verma-A/real-time-object-detection-project-using-python

    This project focuses on implementing real-time object detection using Python, OpenCV, and TensorFlow. Real-time object detection is a crucial aspect of many computer vision …

  10. In this project, we are using highly accurate object detection-algorithms and methods such as R- CNN, Fast-RCNN, Faster-RCNN, RetinaNet and fast yet highly accurate ones like SSD and …

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