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https://github.com/projects-developer/image-recognition-system-deep-learning-project

The Image Recognition System is a deep learning-based project that enables computers to recognize and classify images into different categories. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/image-recognition-system-deep-learning-project

betechproject computer-vision computerscienceproject convolutionalneuralnetworks facial-recognition image-classification image-recognition mtechproject object-detection pattern-recognition

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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. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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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
![fake review (1)](https://github.com/user-attachments/assets/02d8f67a-a7d9-4a60-aca1-008acb451a3c)

## Youtube video: https://youtu.be/kDelozpkvjU?si=1AuNm8N8kPOhLGlx

## 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

### Need Code, Documents & Explanation video ?

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