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  1. Introduction to Object Detection Using Image Processing

    Jun 7, 2024 · Object detection is a crucial task in computer vision that involves identifying and locating objects within an image or video. This task is fundamental for various applications, …

  2. Object Detection vs Object Recognition vs Image Segmentation

    Jun 28, 2022 · Object Detection algorithms act as a combination of image classification and object localization. It takes an image as input and produces one or more bounding boxes with the …

  3. Object Detection and Recognition in Image Processing

    Nov 7, 2018 · PDF | ABSRACT-This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and... | Find, read …

  4. Object Detection Using Deep Learning, CNNs and Vision …

    We classify these methods into three main groups: anchor-based, anchor-free, and transformer-based detectors. Those approaches are distinct in the way they identify objects in the image. …

  5. Image Recognition and Object Detection : Part 1 | LearnOpenCV

    Nov 14, 2016 · With that overview, we are ready to return to the main goal of this post — understand image recognition using traditional computer vision techniques. An image …

  6. Object Detection using Image Processing - ResearchGate

    Nov 23, 2016 · This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. …

  7. spects of object recognition. We present the architecture and main components of object recognition and discuss their role in object recognition . f varying c. e models known to the …

  8. Deep Learning in Object Detection and Recognition

    This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image …

  9. Object Detection using OpenCV and Python - IEEE Xplore

    Image identification makes use of techniques like detection of an object, its recognition, and segmentation. The use of artificial intelligence and machine learning enhances the rate of …

  10. Practical Machine Learning and Image Processing - Springer

    Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic …

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