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
Last synced: 4 months ago
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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
- Host: GitHub
- URL: https://github.com/projects-developer/image-recognition-system-deep-learning-project
- Owner: Projects-Developer
- Created: 2024-12-19T12:27:05.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-20T10:54:15.000Z (5 months ago)
- Last Synced: 2025-01-20T11:40:06.470Z (5 months ago)
- Topics: betechproject, computer-vision, computerscienceproject, convolutionalneuralnetworks, facial-recognition, image-classification, image-recognition, mtechproject, object-detection, pattern-recognition
- Homepage: https://www.finalproject.in/
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Image Recognition System Deep Learning Project
### The Image Recognition System is a deep learning project with code, documents and video tutorial
## 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 ?
## How to Reach me :
### Mail : [email protected]
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### Website : https://www.finalproject.in/
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