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The Image Recognition System is a deep learning-based project that enables computers to recognize and classify images into different categories.

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Image-Recognition-System-Deep-Learning-Project

The Image Recognition System is a deep learning project with code, documents and video tutorial

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Abstract:

This project presents an Image Recognition System that leverages deep learning techniques to accurately classify images into distinct categories. Utilizing a Convolutional Neural Network (CNN) architecture, the system extracts pertinent features from images and trains a classifier to predict the correct label. With a high accuracy rate exceeding 90%, this system demonstrates efficiency and flexibility in processing large image datasets. The proposed system has far-reaching implications in various applications, including object detection, facial recognition, and medical imaging analysis.

Keywords: Image Recognition, Deep Learning, Convolutional Neural Network (CNN), Computer Vision, Object Detection, Image Classification, Artificial Intelligence (AI), Machine Learning (ML), Neural Networks

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

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